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Handbook of Optimization in Medicine / SpringerLink (Online service) ; H. Edwin Romeijn ; Panos M. Pardalos (2009)
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Título : Handbook of Optimization in Medicine Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; H. Edwin Romeijn ; Panos M. Pardalos Editorial: Boston, MA : Springer US Fecha de publicación: 2009 Colección: Springer Optimization and Its Applications, ISSN 1931-6828 num. 26 Número de páginas: XIII, 442 p Il.: online resource ISBN/ISSN/DL: 978-0-387-09770-1 Idioma : Inglés (eng) Palabras clave: Medicine Applied mathematics Engineering Mathematical optimization Biophysics Biological physics Biomedical engineering & Public Health Medicine/Public Health, general Optimization and Physics Applications of Mathematics Clasificación: 51 Matemáticas Resumen: Handbook of Optimization in Medicine is devoted to examining the dramatic increase in the application of effective optimization techniques to the delivery of health care. The articles, written by experts from the areas of optimization (operations research), computer science, and medicine, focus on models and algorithms that have led to more efficient and sophisticated treatments of patients. Topics covered include: * optimization in medical imaging, * classification and data mining with medical applications, * treatment of epilepsy and other brain disorders, * treatment of head-and-neck, prostate, and other cancers using conventional conformal and intensity-modulated radiation therapy as well as proton therapy, * treatment selection for breast cancer based on new classification schemes, * optimization for the genome project, *optimal timing of organ transplants. This handbook is an invaluable resource for graduate students and academic researchers in biomedical engineering, computer science, operations research, and medicine. Practioners as well will be able to adapt the different approaches to their needs Nota de contenido: Optimizing Organ Allocation and Acceptance -- Can we Do Better? Optimization Models for Breast Cancer Screening -- Optimization Models and Computational Approaches for Three-dimensional Conformal Radiation Treatment Planning -- Continuous Optimization of Beamlet Intensities for Intensity Modulated Photon and Proton Radiotherapy -- Multicriteria Optimization in Intensity Modulated Rediotherapy Planning -- Algorithms for Sequencing Multileaf Collimators -- Image Registration and Segmentation Based on Energy Minimization -- Optimization Techniques for Date Representions with Biomedical Applications -- Algorithms for Genomics Analysis -- Optimization and Data Mining in Epilepsy Research: A Review and Prospective -- Mathematical Programming Approaches for the Analysis of Microarray Data -- Classification and Disease Prediction Via Mathematical Programming En línea: http://dx.doi.org/10.1007/b100322 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33831 Handbook of Optimization in Medicine [documento electrónico] / SpringerLink (Online service) ; H. Edwin Romeijn ; Panos M. Pardalos . - Boston, MA : Springer US, 2009 . - XIII, 442 p : online resource. - (Springer Optimization and Its Applications, ISSN 1931-6828; 26) .
ISBN : 978-0-387-09770-1
Idioma : Inglés (eng)
Palabras clave: Medicine Applied mathematics Engineering Mathematical optimization Biophysics Biological physics Biomedical engineering & Public Health Medicine/Public Health, general Optimization and Physics Applications of Mathematics Clasificación: 51 Matemáticas Resumen: Handbook of Optimization in Medicine is devoted to examining the dramatic increase in the application of effective optimization techniques to the delivery of health care. The articles, written by experts from the areas of optimization (operations research), computer science, and medicine, focus on models and algorithms that have led to more efficient and sophisticated treatments of patients. Topics covered include: * optimization in medical imaging, * classification and data mining with medical applications, * treatment of epilepsy and other brain disorders, * treatment of head-and-neck, prostate, and other cancers using conventional conformal and intensity-modulated radiation therapy as well as proton therapy, * treatment selection for breast cancer based on new classification schemes, * optimization for the genome project, *optimal timing of organ transplants. This handbook is an invaluable resource for graduate students and academic researchers in biomedical engineering, computer science, operations research, and medicine. Practioners as well will be able to adapt the different approaches to their needs Nota de contenido: Optimizing Organ Allocation and Acceptance -- Can we Do Better? Optimization Models for Breast Cancer Screening -- Optimization Models and Computational Approaches for Three-dimensional Conformal Radiation Treatment Planning -- Continuous Optimization of Beamlet Intensities for Intensity Modulated Photon and Proton Radiotherapy -- Multicriteria Optimization in Intensity Modulated Rediotherapy Planning -- Algorithms for Sequencing Multileaf Collimators -- Image Registration and Segmentation Based on Energy Minimization -- Optimization Techniques for Date Representions with Biomedical Applications -- Algorithms for Genomics Analysis -- Optimization and Data Mining in Epilepsy Research: A Review and Prospective -- Mathematical Programming Approaches for the Analysis of Microarray Data -- Classification and Disease Prediction Via Mathematical Programming En línea: http://dx.doi.org/10.1007/b100322 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33831 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar Optimization in Medicine / SpringerLink (Online service) ; Carlos J. S. Alves ; Panos M. Pardalos ; Luis Nunes Vicente (2008)
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Título : Optimization in Medicine Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Carlos J. S. Alves ; Panos M. Pardalos ; Luis Nunes Vicente Editorial: New York, NY : Springer New York Fecha de publicación: 2008 Colección: Springer Optimization and Its Applications, ISSN 1931-6828 num. 12 Número de páginas: X, 195 p. 60 illus Il.: online resource ISBN/ISSN/DL: 978-0-387-73299-2 Idioma : Inglés (eng) Palabras clave: Medicine Radiology Mathematical optimization Calculus of variations & Public Health Medicine/Public Health, general Optimization Variations and Optimal Control; Imaging / Clasificación: 51 Matemáticas Resumen: Optimization has become an essential tool in addressing the limitation of resources and need for better decision-making in the medical field. Both continuous and discrete mathematical techniques are playing an increasingly important role in understanding several fundamental problems in medicine. This volume presents a wide range of medical applications that can utilize mathematical computing. Examples include using an algorithm for considering the seed reconstruction problem in brachytherapy and using optimization-classification models to assist in the early prediction, diagnosis and detection of diseases. Discrete optimization techniques and measures derived from the theory of nonlinear dynamics, with analysis of multi-electrode electroencephalographic (EEG) data, assist in predicting impending epileptic seizures. Mathematics in medicine can also be found in recent cancer research. Sophisticated mathematical models and optimization algorithms have been used to generate treatment plans for radionuclide implant and external beam radiation therapy. Optimization techniques have also been used to automate the planning process in Gamma Knife treatment, as well as to address a variety of medical image registration problems. This work grew out of a workshop on optimization which was held during the 2005 CIM Thematic Term on Optimization in Coimbra, Portugal. It provides an overview of the state-of-the-art in optimization in medicine and will serve as an excellent reference for researchers in the medical computing community and for those working in applied mathematics and optimization Nota de contenido: The influence of dose grid resolution on beam selection strategies in radiotherapy treatment design -- Decomposition of matrices and static multileaf collimators: a survey -- Neuro-dynamic programming for fractionated radiotherapy planning -- Randomized algorithms for mixed matching and covering in hypergraphs in 3D seed reconstruction in brachytherapy -- Global optimization and spatial synchronization changes prior to epileptic seizures -- Optimization-based predictive models in medicine and biology -- Optimal reconstruction kernels in medical imaging -- Optimal control in high intensity focused ultrasound surgery En línea: http://dx.doi.org/10.1007/978-0-387-73299-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34179 Optimization in Medicine [documento electrónico] / SpringerLink (Online service) ; Carlos J. S. Alves ; Panos M. Pardalos ; Luis Nunes Vicente . - New York, NY : Springer New York, 2008 . - X, 195 p. 60 illus : online resource. - (Springer Optimization and Its Applications, ISSN 1931-6828; 12) .
ISBN : 978-0-387-73299-2
Idioma : Inglés (eng)
Palabras clave: Medicine Radiology Mathematical optimization Calculus of variations & Public Health Medicine/Public Health, general Optimization Variations and Optimal Control; Imaging / Clasificación: 51 Matemáticas Resumen: Optimization has become an essential tool in addressing the limitation of resources and need for better decision-making in the medical field. Both continuous and discrete mathematical techniques are playing an increasingly important role in understanding several fundamental problems in medicine. This volume presents a wide range of medical applications that can utilize mathematical computing. Examples include using an algorithm for considering the seed reconstruction problem in brachytherapy and using optimization-classification models to assist in the early prediction, diagnosis and detection of diseases. Discrete optimization techniques and measures derived from the theory of nonlinear dynamics, with analysis of multi-electrode electroencephalographic (EEG) data, assist in predicting impending epileptic seizures. Mathematics in medicine can also be found in recent cancer research. Sophisticated mathematical models and optimization algorithms have been used to generate treatment plans for radionuclide implant and external beam radiation therapy. Optimization techniques have also been used to automate the planning process in Gamma Knife treatment, as well as to address a variety of medical image registration problems. This work grew out of a workshop on optimization which was held during the 2005 CIM Thematic Term on Optimization in Coimbra, Portugal. It provides an overview of the state-of-the-art in optimization in medicine and will serve as an excellent reference for researchers in the medical computing community and for those working in applied mathematics and optimization Nota de contenido: The influence of dose grid resolution on beam selection strategies in radiotherapy treatment design -- Decomposition of matrices and static multileaf collimators: a survey -- Neuro-dynamic programming for fractionated radiotherapy planning -- Randomized algorithms for mixed matching and covering in hypergraphs in 3D seed reconstruction in brachytherapy -- Global optimization and spatial synchronization changes prior to epileptic seizures -- Optimization-based predictive models in medicine and biology -- Optimal reconstruction kernels in medical imaging -- Optimal control in high intensity focused ultrasound surgery En línea: http://dx.doi.org/10.1007/978-0-387-73299-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34179 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar Problems of High Altitude Medicine and Biology / SpringerLink (Online service) ; Almaz Aldashev ; Robert Naeije (2007)
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Título : Problems of High Altitude Medicine and Biology Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Almaz Aldashev ; Robert Naeije Editorial: Dordrecht : Springer Netherlands Fecha de publicación: 2007 Número de páginas: VIII, 306 p Il.: online resource ISBN/ISSN/DL: 978-1-4020-6300-8 Idioma : Inglés (eng) Palabras clave: Mathematics Cardiology Respiratory organs Diseases Sports medicine Biomathematics Physiological, Cellular and Medical Topics Medicine Pneumology/Respiratory System Clasificación: 51 Matemáticas Resumen: The major characteristic pathological findings of pulmonary vascular remodelling are increased wall thickening of pulmonary vessels and mus- larization of small arteries. In laboratory animals, decreased ambient oxygen concentrations cause similar pathological findings, including pulmonary smooth muscle hypertrophy and proliferation [22,23]. It has been suggested that proliferation of pulmonary arterial smooth muscle cells (PASMC) is a key component of pulmonary vascular remodelling, and several in vitro studies have also addressed that exposure to hypoxia can stimulate prolife- tion of PASMC [13,4,1]. The proliferation of the PASMC begins when the cells enter into the cell cycle. The most important molecular event necessary for the progress of the cell cycle is phosphorylation of retinoblastoma protein by cyclin-dependent kinase (CDK)-cyclin complexes. The CDK activity can be inhibited by CDK inhibitors and the expression of CDK inhibitor is a major regulator of the transition between each phase of the cell cycle [7]. Previous studies have noted that CDK inhibitor p27 plays an important role in the inhibition of the CDK activity and proliferation in vascular smooth muscle cells [2,3]. The G1 phase in severe hypoxia is suggested to involve the CKI p27, because the expression of p27 increased in several cell-lines when they were exposed to extreme hypoxia [20,5]. Previous reports indicate that hypoxia decreases the p27 expression in the murine lung [23,24] and we found that PGI2 suppresses hypox- induced proliferation of PASMC and maintains p27 in PASMC [20] Nota de contenido: Introduction: 45 Years Of Mountain Medicine -- High Altitude Pulmonary Hypertension And Chronic Mountain Sickness-Reappraisal Of The Consensus On Chronic And Subacute High Altitude Diseases -- The Cellular Effects Of Hypoxia In The Pulmonary Circulation -- Angiogenesis And Chronic Hypoxic Pulmonary Hypertension -- Tetrahydrobiopterin And Pulmonary Hypertension -- Hypoxia-Induced Proliferation Of Human Pulmonary Arterial Smooth Muscle Cells (Pasmc) Is Involved In The Suppression Of Cyclin-Dependent Kinase Inhibitors, P21, P27 And P53 -- Pulmonary Adaptation To High Altitude In Wild Mammals -- The Lung At High Altitude: Between Physiology And Pathology -- Sildenafil And Hypoxic Pulmonary Hypertension -- The Role Of Antioxidants In Modulation Of Acclimatization Processes -- Gene Polymorphisms And High Altitude Pulmonary Hypertension -- Genetic Factors In The Acute Response To Hypoxia In Animals Models -- Who Gets High Altitude Pulmonary Edema And Why? -- Effects Of Inhaled Nitric Oxide And Oxygen In High Altitude Pulmonary Edema -- Altered Autoregulation Of Cerebral Blood Flow In Hypoxia: Relevance To The Pathophysiology Of Acute Mountain Sickness -- Cardiac Limitation To Exercise Capacity At High Altitudes -- Pediatric High Altitude Heart Disease: A Hypoxic Pulmonary Hypertension Syndrome -- Clinical And Functional Features Of Chronic Obstructive Pulmonary Disease In The Highlanders Of Kyrgzstan -- Monitoring The Morphological And Functional Parameters Of Platelets In Patients With Thrombocytopenic Purpura During High Mountain Treatment -- Role Of Exogenous Hypoxia In Treatment Of Chronic Glomerulonephritis -- Atherogenesis Of Brain Vessels In Conditions Of Hypoxia In Kyrgyz Highlanders -- Particularities Of Neuropsychotropic Effects Of Mexidol In Various Altitude Conditions -- Influence Of High-Altitude Hypoxia On Adaptive And Non-Adaptive Structural Changes In The Vessels Of The Pulmonary Circulation -- Acute Oxygen Sensing Mechanisms En línea: http://dx.doi.org/10.1007/978-1-4020-6300-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34582 Problems of High Altitude Medicine and Biology [documento electrónico] / SpringerLink (Online service) ; Almaz Aldashev ; Robert Naeije . - Dordrecht : Springer Netherlands, 2007 . - VIII, 306 p : online resource.
ISBN : 978-1-4020-6300-8
Idioma : Inglés (eng)
Palabras clave: Mathematics Cardiology Respiratory organs Diseases Sports medicine Biomathematics Physiological, Cellular and Medical Topics Medicine Pneumology/Respiratory System Clasificación: 51 Matemáticas Resumen: The major characteristic pathological findings of pulmonary vascular remodelling are increased wall thickening of pulmonary vessels and mus- larization of small arteries. In laboratory animals, decreased ambient oxygen concentrations cause similar pathological findings, including pulmonary smooth muscle hypertrophy and proliferation [22,23]. It has been suggested that proliferation of pulmonary arterial smooth muscle cells (PASMC) is a key component of pulmonary vascular remodelling, and several in vitro studies have also addressed that exposure to hypoxia can stimulate prolife- tion of PASMC [13,4,1]. The proliferation of the PASMC begins when the cells enter into the cell cycle. The most important molecular event necessary for the progress of the cell cycle is phosphorylation of retinoblastoma protein by cyclin-dependent kinase (CDK)-cyclin complexes. The CDK activity can be inhibited by CDK inhibitors and the expression of CDK inhibitor is a major regulator of the transition between each phase of the cell cycle [7]. Previous studies have noted that CDK inhibitor p27 plays an important role in the inhibition of the CDK activity and proliferation in vascular smooth muscle cells [2,3]. The G1 phase in severe hypoxia is suggested to involve the CKI p27, because the expression of p27 increased in several cell-lines when they were exposed to extreme hypoxia [20,5]. Previous reports indicate that hypoxia decreases the p27 expression in the murine lung [23,24] and we found that PGI2 suppresses hypox- induced proliferation of PASMC and maintains p27 in PASMC [20] Nota de contenido: Introduction: 45 Years Of Mountain Medicine -- High Altitude Pulmonary Hypertension And Chronic Mountain Sickness-Reappraisal Of The Consensus On Chronic And Subacute High Altitude Diseases -- The Cellular Effects Of Hypoxia In The Pulmonary Circulation -- Angiogenesis And Chronic Hypoxic Pulmonary Hypertension -- Tetrahydrobiopterin And Pulmonary Hypertension -- Hypoxia-Induced Proliferation Of Human Pulmonary Arterial Smooth Muscle Cells (Pasmc) Is Involved In The Suppression Of Cyclin-Dependent Kinase Inhibitors, P21, P27 And P53 -- Pulmonary Adaptation To High Altitude In Wild Mammals -- The Lung At High Altitude: Between Physiology And Pathology -- Sildenafil And Hypoxic Pulmonary Hypertension -- The Role Of Antioxidants In Modulation Of Acclimatization Processes -- Gene Polymorphisms And High Altitude Pulmonary Hypertension -- Genetic Factors In The Acute Response To Hypoxia In Animals Models -- Who Gets High Altitude Pulmonary Edema And Why? -- Effects Of Inhaled Nitric Oxide And Oxygen In High Altitude Pulmonary Edema -- Altered Autoregulation Of Cerebral Blood Flow In Hypoxia: Relevance To The Pathophysiology Of Acute Mountain Sickness -- Cardiac Limitation To Exercise Capacity At High Altitudes -- Pediatric High Altitude Heart Disease: A Hypoxic Pulmonary Hypertension Syndrome -- Clinical And Functional Features Of Chronic Obstructive Pulmonary Disease In The Highlanders Of Kyrgzstan -- Monitoring The Morphological And Functional Parameters Of Platelets In Patients With Thrombocytopenic Purpura During High Mountain Treatment -- Role Of Exogenous Hypoxia In Treatment Of Chronic Glomerulonephritis -- Atherogenesis Of Brain Vessels In Conditions Of Hypoxia In Kyrgyz Highlanders -- Particularities Of Neuropsychotropic Effects Of Mexidol In Various Altitude Conditions -- Influence Of High-Altitude Hypoxia On Adaptive And Non-Adaptive Structural Changes In The Vessels Of The Pulmonary Circulation -- Acute Oxygen Sensing Mechanisms En línea: http://dx.doi.org/10.1007/978-1-4020-6300-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34582 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar Visualization in Medicine and Life Sciences / SpringerLink (Online service) ; Lars Linsen ; Hans Hagen ; Bernd Hamann (2008)
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Título : Visualization in Medicine and Life Sciences Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Lars Linsen ; Hans Hagen ; Bernd Hamann Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2008 Colección: Mathematics and Visualization, ISSN 1612-3786 Número de páginas: X, 346 p. 162 illus., 35 illus. in color Il.: online resource ISBN/ISSN/DL: 978-3-540-72630-2 Idioma : Inglés (eng) Palabras clave: Medicine Pathology Computer graphics Bioinformatics Computational biology Mathematics Visualization Mathematical models & Public Health Medicine/Public Health, general Graphics Appl. in Life Sciences Modeling and Industrial Clasificación: 51 Matemáticas Resumen: Visualization technology has become a crucial component of medical and b- medical data processing and analysis. This technology complements tra- tional image processing methods as it allows scientists and practicing medical doctors to visually interact with large, high-resolution three-dimensional - age data. Further, an ever increasing number of new data acquisition me- ods is being used in medicine and the life sciences, in particular in genomics and proteomics. The book contains papers discussing some of the latest data processing and visualization techniques and systems for e?ective analysis of diverse, large, complex, and multi-source data. Internationally leading experts in the area of data visualization came - gether for a workshop dedicated to visualization in medicine and life sciences, held on the island of Rugen, ¨ Germany, in July 2006. About 40 participants presented state-of-the-art research on this topic. Research and survey papers were solicited and carefully refereed, resulting in this collection. The research topics covered by the papers in this book deal with these themes: • Segmentation and Feature Detection • Surface Extraction • Volume Visualization • Graph and Network Visualization • Visual Data Exploration • Multivariate and Multidimensional Data Visualization • Large Data Visualization The workshop was supported, in part, by the Deutsche Forschungsgeme- schaft (DFG) Nota de contenido: Surface Extraction Methods from Medical Imaging Data -- Towards Automatic Generation of 3D Models of Biological Objects Based on Serial Sections -- A Topological Approach to Quantitation of Rheumatoid Arthritis -- 3D Visualization of Vasculature: An Overview -- 3D Surface Reconstruction from Endoscopic Videos -- Geometry Processing in Medical Applications -- A Framework for the Visualization of Cross Sectional Data in Biomedical Research -- Towards a Virtual Echocardiographic Tutoring System -- Supporting Depth and Motion Perception in Medical Volume Data -- Visualization of Multi-channel Medical Imaging Data -- Multimodal Image Registration for Efficient Multi-resolution Visualization -- A User-friendly Tool for Semi-automated Segmentation and Surface Extraction from Color Volume Data Using Geometric Feature-space Operations -- Vector and Tensor Visualization in Medical Applications -- Global Illumination of White Matter Fibers from DT-MRI Data -- Direct Glyph-based Visualization of Diffusion MR Data Using Deformed Spheres -- Visual Analysis of Bioelectric Fields -- MRI-based Visualisation of Orbital Fat Deformation During Eye Motion -- Visualizing Molecular Structures -- Visual Analysis of Biomolecular Surfaces -- BioBrowser — Visualization of and Access to Macro-Molecular Structures -- Visualization of Barrier Tree Sequences Revisited -- Visualizing Gene Expression Data -- Interactive Visualization of Gene Regulatory Networks with Associated Gene Expression Time Series Data -- Segmenting Gene Expression Patterns of Early-stage Drosophila Embryos En línea: http://dx.doi.org/10.1007/978-3-540-72630-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34332 Visualization in Medicine and Life Sciences [documento electrónico] / SpringerLink (Online service) ; Lars Linsen ; Hans Hagen ; Bernd Hamann . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2008 . - X, 346 p. 162 illus., 35 illus. in color : online resource. - (Mathematics and Visualization, ISSN 1612-3786) .
ISBN : 978-3-540-72630-2
Idioma : Inglés (eng)
Palabras clave: Medicine Pathology Computer graphics Bioinformatics Computational biology Mathematics Visualization Mathematical models & Public Health Medicine/Public Health, general Graphics Appl. in Life Sciences Modeling and Industrial Clasificación: 51 Matemáticas Resumen: Visualization technology has become a crucial component of medical and b- medical data processing and analysis. This technology complements tra- tional image processing methods as it allows scientists and practicing medical doctors to visually interact with large, high-resolution three-dimensional - age data. Further, an ever increasing number of new data acquisition me- ods is being used in medicine and the life sciences, in particular in genomics and proteomics. The book contains papers discussing some of the latest data processing and visualization techniques and systems for e?ective analysis of diverse, large, complex, and multi-source data. Internationally leading experts in the area of data visualization came - gether for a workshop dedicated to visualization in medicine and life sciences, held on the island of Rugen, ¨ Germany, in July 2006. About 40 participants presented state-of-the-art research on this topic. Research and survey papers were solicited and carefully refereed, resulting in this collection. The research topics covered by the papers in this book deal with these themes: • Segmentation and Feature Detection • Surface Extraction • Volume Visualization • Graph and Network Visualization • Visual Data Exploration • Multivariate and Multidimensional Data Visualization • Large Data Visualization The workshop was supported, in part, by the Deutsche Forschungsgeme- schaft (DFG) Nota de contenido: Surface Extraction Methods from Medical Imaging Data -- Towards Automatic Generation of 3D Models of Biological Objects Based on Serial Sections -- A Topological Approach to Quantitation of Rheumatoid Arthritis -- 3D Visualization of Vasculature: An Overview -- 3D Surface Reconstruction from Endoscopic Videos -- Geometry Processing in Medical Applications -- A Framework for the Visualization of Cross Sectional Data in Biomedical Research -- Towards a Virtual Echocardiographic Tutoring System -- Supporting Depth and Motion Perception in Medical Volume Data -- Visualization of Multi-channel Medical Imaging Data -- Multimodal Image Registration for Efficient Multi-resolution Visualization -- A User-friendly Tool for Semi-automated Segmentation and Surface Extraction from Color Volume Data Using Geometric Feature-space Operations -- Vector and Tensor Visualization in Medical Applications -- Global Illumination of White Matter Fibers from DT-MRI Data -- Direct Glyph-based Visualization of Diffusion MR Data Using Deformed Spheres -- Visual Analysis of Bioelectric Fields -- MRI-based Visualisation of Orbital Fat Deformation During Eye Motion -- Visualizing Molecular Structures -- Visual Analysis of Biomolecular Surfaces -- BioBrowser — Visualization of and Access to Macro-Molecular Structures -- Visualization of Barrier Tree Sequences Revisited -- Visualizing Gene Expression Data -- Interactive Visualization of Gene Regulatory Networks with Associated Gene Expression Time Series Data -- Segmenting Gene Expression Patterns of Early-stage Drosophila Embryos En línea: http://dx.doi.org/10.1007/978-3-540-72630-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34332 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar
Título : Clinical Prediction Models : A Practical Approach to Development, Validation, and Updating Tipo de documento: documento electrónico Autores: Ewout W. Steyerberg ; SpringerLink (Online service) Editorial: New York, NY : Springer New York Fecha de publicación: 2009 Otro editor: Imprint: Springer Colección: Statistics for Biology and Health, ISSN 1431-8776 Número de páginas: XXVIII, 500 p Il.: online resource ISBN/ISSN/DL: 978-0-387-77244-8 Idioma : Inglés (eng) Palabras clave: Medicine Internal medicine Statistics & Public Health for Life Sciences, Medicine, Sciences Clasificación: 51 Matemáticas Resumen: This book provides insight and practical illustrations on how modern statistical concepts and regression methods can be applied in medical prediction problems, including diagnostic and prognostic outcomes. Many advances have been made in statistical approaches towards outcome prediction, but these innovations are insufficiently applied in medical research. Old-fashioned, data hungry methods are often used in data sets of limited size, validation of predictions is not done or done simplistically, and updating of previously developed models is not considered. A sensible strategy is needed for model development, validation, and updating, such that prediction models can better support medical practice. Clinical prediction models presents a practical checklist with seven steps that need to be considered for development of a valid prediction model. These include preliminary considerations such as dealing with missing values; coding of predictors; selection of main effects and interactions for a multivariable model; estimation of model parameters with shrinkage methods and incorporation of external data; evaluation of performance and usefulness; internal validation; and presentation formats. The steps are illustrated with many small case-studies and R code, with data sets made available in the public domain. The book further focuses on generalizability of prediction models, including patterns of invalidity that may be encountered in new settings, approaches to updating of a model, and comparisons of centers after case-mix adjustment by a prediction model. The text is primarily intended for clinical epidemiologists and biostatisticians. It can be used as a textbook for a graduate course on predictive modeling in diagnosis and prognosis. It is beneficial if readers are familiar with common statistical models in medicine: linear regression, logistic regression, and Cox regression. The book is practical in nature. But it provides a philosophical perspective on data analysis in medicine that goes beyond predictive modeling. In this era of evidence-based medicine, randomized clinical trials are the basis for assessment of treatment efficacy. Prediction models are key to individualizing diagnostic and treatment decision making. Ewout Steyerberg (1967) is Professor of Medical Decision Making, in particular prognostic modeling, at Erasmus MC–University Medical Center Rotterdam, the Netherlands. His work on prediction models was stimulated by various research grants including a fellowship from the Royal Netherlands Academy of Arts and Sciences. He has published over 250 peer-reviewed articles in collaboration with many clinical researchers, both in methodological and medical journals Nota de contenido: Applications of prediction models -- Study design for prediction models -- Statistical Models for Prediction -- Overfitting and optimism in prediction models -- Choosing between alternative statistical models -- Dealing with missing values -- Case study on dealing with missing values -- Coding of Categorical and Continuous Predictors -- Restrictions on candidate predictors -- Selection of main effects -- Assumptions in regression models:Additivity and linearity -- Modern estimation methods -- Estimation with external information -- Evaluation of performance -- Clinical Usefulness -- Validation of Prediction Models -- Presentation formats -- Patterns of external validity -- Updating for a new setting -- Updating for multiple settings -- Prediction of a binary outcome:30-day mortality after acute myocardial infarction -- Case study on survival analysis:prediction of secondary cardiovascular events -- Lessons from case studies En línea: http://dx.doi.org/10.1007/978-0-387-77244-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33868 Clinical Prediction Models : A Practical Approach to Development, Validation, and Updating [documento electrónico] / Ewout W. Steyerberg ; SpringerLink (Online service) . - New York, NY : Springer New York : Imprint: Springer, 2009 . - XXVIII, 500 p : online resource. - (Statistics for Biology and Health, ISSN 1431-8776) .
ISBN : 978-0-387-77244-8
Idioma : Inglés (eng)
Palabras clave: Medicine Internal medicine Statistics & Public Health for Life Sciences, Medicine, Sciences Clasificación: 51 Matemáticas Resumen: This book provides insight and practical illustrations on how modern statistical concepts and regression methods can be applied in medical prediction problems, including diagnostic and prognostic outcomes. Many advances have been made in statistical approaches towards outcome prediction, but these innovations are insufficiently applied in medical research. Old-fashioned, data hungry methods are often used in data sets of limited size, validation of predictions is not done or done simplistically, and updating of previously developed models is not considered. A sensible strategy is needed for model development, validation, and updating, such that prediction models can better support medical practice. Clinical prediction models presents a practical checklist with seven steps that need to be considered for development of a valid prediction model. These include preliminary considerations such as dealing with missing values; coding of predictors; selection of main effects and interactions for a multivariable model; estimation of model parameters with shrinkage methods and incorporation of external data; evaluation of performance and usefulness; internal validation; and presentation formats. The steps are illustrated with many small case-studies and R code, with data sets made available in the public domain. The book further focuses on generalizability of prediction models, including patterns of invalidity that may be encountered in new settings, approaches to updating of a model, and comparisons of centers after case-mix adjustment by a prediction model. The text is primarily intended for clinical epidemiologists and biostatisticians. It can be used as a textbook for a graduate course on predictive modeling in diagnosis and prognosis. It is beneficial if readers are familiar with common statistical models in medicine: linear regression, logistic regression, and Cox regression. The book is practical in nature. But it provides a philosophical perspective on data analysis in medicine that goes beyond predictive modeling. In this era of evidence-based medicine, randomized clinical trials are the basis for assessment of treatment efficacy. Prediction models are key to individualizing diagnostic and treatment decision making. Ewout Steyerberg (1967) is Professor of Medical Decision Making, in particular prognostic modeling, at Erasmus MC–University Medical Center Rotterdam, the Netherlands. His work on prediction models was stimulated by various research grants including a fellowship from the Royal Netherlands Academy of Arts and Sciences. He has published over 250 peer-reviewed articles in collaboration with many clinical researchers, both in methodological and medical journals Nota de contenido: Applications of prediction models -- Study design for prediction models -- Statistical Models for Prediction -- Overfitting and optimism in prediction models -- Choosing between alternative statistical models -- Dealing with missing values -- Case study on dealing with missing values -- Coding of Categorical and Continuous Predictors -- Restrictions on candidate predictors -- Selection of main effects -- Assumptions in regression models:Additivity and linearity -- Modern estimation methods -- Estimation with external information -- Evaluation of performance -- Clinical Usefulness -- Validation of Prediction Models -- Presentation formats -- Patterns of external validity -- Updating for a new setting -- Updating for multiple settings -- Prediction of a binary outcome:30-day mortality after acute myocardial infarction -- Case study on survival analysis:prediction of secondary cardiovascular events -- Lessons from case studies En línea: http://dx.doi.org/10.1007/978-0-387-77244-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33868 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar PermalinkModern Infectious Disease Epidemiology / SpringerLink (Online service) ; Alexander Krämer ; Mirjam Kretzschmar ; Klaus Krickeberg (2010)
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PermalinkPermalinkPermalinkHealth in Megacities and Urban Areas / SpringerLink (Online service) ; Alexander Krämer ; Mobarak Hossain Khan ; Frauke Kraas (2011)
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