Medical data analysis : Second International Symposium, ISMDA 2001, Madrid, Spain, October 8-9, 2001 : proceedings / Jose Crespo, Victor Maojo, Fernando Martin (eds.).

By: (2nd : International Symposium on Medical Data Analysis (2nd : 2001 : Madrid, Spain)
Contributor(s): Crespo, Jose, 1966- | Maojo, Victor, 1961- | Martin, Fernando, 1963-
Material type: TextTextSeries: SerienbezeichnungLecture notes in computer science: 2199.Publisher: Berlin ; New York : Springer, ©2001Description: 1 online resource (x, 311 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9783540454977; 3540454977Other title: ISMDA 2001Subject(s): Medicine -- Research -- Statistical methods -- Congresses | Data Interpretation, Statistical | Medical Informatics Applications | Medical Informatics | Models, Statistical | Research Design | Diagnosis, Computer-Assisted | Electronic Data Processing | Informatics | Statistics as Topic | Decision Support Techniques | Models, Theoretical | Computing Methodologies | Research | Methods | Decision Making, Computer-Assisted | Information Science | Diagnosis | Epidemiologic Methods | Science | Investigative Techniques | Analytical, Diagnostic and Therapeutic Techniques and Equipment | Health Care Evaluation Mechanisms | Public Health | Natural Science Disciplines | Quality of Health Care | Health Care Quality, Access, and Evaluation | Disciplines and Occupations | Environment and Public Health | Delivery of Health Care | Medicine -- Research -- Statistical methodsGenre/Form: Electronic books. | Conference papers and proceedings. Additional physical formats: Print version:: Medical data analysis.DDC classification: 610/.7/27 LOC classification: R853.S7 | I58 2001Other classification: 44.32 Online resources: Click here to access online
Contents:
Medical Analysis and Diagnosis by Neural Networks -- On Applying Supervised Classification Techniques in Medicine -- Methods and Criteria for Detecting Significant Regions in Medical Image Analysis -- Using Bayesian Networks to Model Emergency Medical Services -- Analysis of Strength Data Based on Expert Knowledge -- A Computational Environment for Medical Diagnosis Support Systems -- Automatic Detection of Regions of Interest in Digitized Mammograms for Computer-Aided Diagnosis -- A New Method for Unifying Heterogeneous Databases -- Fatigue Indicators of Drowsy Drivers Based on Analysis of Physiological Signals -- Secure and Interoperable Document Management over the Internet -- The Generic HARP Cross-Security Platform for Clinical Studies -- A Generalized Uncertainty Function and Fuzzy Modeling -- Special Time Series Models for Analysis of Mortality Data -- Knowledge Organisation in a Neonatal Jaundice Decision Support System -- Quasi-Fourier Modeling Individual and Count Outcomes -- An Anatomical and Functional Model for the Study of Cortical Functions -- Predicting the Level of Metabolic Control Using Collaborative Filtering -- Web-Enabled Knowledge-Based Analysis of Genetic Data -- Fuzzy Sets Applied to Image Processing and Quantification of Interstitial Fibrosis and Glomerular Size in Computer Assisted Microscopy -- Cancer Epidemiology of Small Communities: Using a Novel Approach to Detecting Clusters -- Hybrid Pattern Recognition Algorithms with the Statistical Model Applied to the Computer-Aided Medical Diagnosis -- Computer-Aided Diagnosis: Application of Wavelet Transform to the Detection of Clustered Microcalcifications in Digital Mammograms -- A Methodology for Constructing Expert Systems for Medical Diagnosis -- An Expert System for Microbiological Data Validation and Surveillance -- Hierarchical Clustering of Female Urinary Incontinence Data Having Noise and Outliers -- ACMD: A Practical Tool for Automatic Neural Net Based Learning -- Development of a Mammographic Analysis System Using Computer Vision Techniques -- Improvement of a Mammographic CAD System for Mass Detection -- Classification of Gene Expression Data in an Ontology -- Feature Selection Algorithms Applied to Parkinson's Disease -- A New Model for AIDS Survival Analysis -- A Frequent Patterns Tree Approach for Rule Generation with Categorical Septic Shock Patient Data -- Analysis of Medical Diagnostic Images via the Implementation and Access to a Safe DICOMPACS with a Web Interface: Analysis of Contrast-enhanced CT Imaging of Oral and Oropharyngeal Carcinomas -- Classification of HEp-2 Cells Using Fluorescent Image Analysis and Data Mining -- Multitask Pattern Recognition Algorithm for the Medical Decision Support System -- The Analysis of Hospital Episodes -- Electroshock Effects Identification Using Classification Based on Rules -- Advanced Visualization of 3D data of Intravascular Ultrasound images -- Investigations on Stability and Overoptimism of Classification Trees by Using Cross-Validation -- A Case-Based Approach for the Classification of Medical Time Series -- Binary Vector or Real Value Coding for Secondary Structure Prediction? A Case Study of Polyproline Type II Prediction -- Notes on Medical Decision Model Creation -- Refining the Knowledge Base of an Otoneurological Expert System -- Segmentation of Color Fundus Images of the Human Retina: Detection of the Optic Disc and the Vascular Tree Using Morphological Techniques -- Learning Structural Knowledge from the ECG -- Recurrence Quantification Analysis to Characterise the Heart Rate Variability Before the Onset of Ventricular Tachycardia -- Learning Bayesian-Network Topologies in Realistic Medical Domains.
Summary: This book constitutes the refereed proceedings of the Second International Symposium on Medical Data Analysis, ISMDD 2001, held in Madrid, Spain, in October 2001. The 43 revised papers presented together with three invited keynote papers were carefully reviewed and selected from 72 submissions. Among the issues addressed are data analysis and diagnosis, classification, clustering, medical image analysis, Bayesian networks, decision support systems, fuzzy modeling, time series analysis, collaborative filtering, pattern recognition, case-based reasoning, rule-based inference, and computer vision.
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Includes bibliographical references and index.

Print version record.

This book constitutes the refereed proceedings of the Second International Symposium on Medical Data Analysis, ISMDD 2001, held in Madrid, Spain, in October 2001. The 43 revised papers presented together with three invited keynote papers were carefully reviewed and selected from 72 submissions. Among the issues addressed are data analysis and diagnosis, classification, clustering, medical image analysis, Bayesian networks, decision support systems, fuzzy modeling, time series analysis, collaborative filtering, pattern recognition, case-based reasoning, rule-based inference, and computer vision.

Medical Analysis and Diagnosis by Neural Networks -- On Applying Supervised Classification Techniques in Medicine -- Methods and Criteria for Detecting Significant Regions in Medical Image Analysis -- Using Bayesian Networks to Model Emergency Medical Services -- Analysis of Strength Data Based on Expert Knowledge -- A Computational Environment for Medical Diagnosis Support Systems -- Automatic Detection of Regions of Interest in Digitized Mammograms for Computer-Aided Diagnosis -- A New Method for Unifying Heterogeneous Databases -- Fatigue Indicators of Drowsy Drivers Based on Analysis of Physiological Signals -- Secure and Interoperable Document Management over the Internet -- The Generic HARP Cross-Security Platform for Clinical Studies -- A Generalized Uncertainty Function and Fuzzy Modeling -- Special Time Series Models for Analysis of Mortality Data -- Knowledge Organisation in a Neonatal Jaundice Decision Support System -- Quasi-Fourier Modeling Individual and Count Outcomes -- An Anatomical and Functional Model for the Study of Cortical Functions -- Predicting the Level of Metabolic Control Using Collaborative Filtering -- Web-Enabled Knowledge-Based Analysis of Genetic Data -- Fuzzy Sets Applied to Image Processing and Quantification of Interstitial Fibrosis and Glomerular Size in Computer Assisted Microscopy -- Cancer Epidemiology of Small Communities: Using a Novel Approach to Detecting Clusters -- Hybrid Pattern Recognition Algorithms with the Statistical Model Applied to the Computer-Aided Medical Diagnosis -- Computer-Aided Diagnosis: Application of Wavelet Transform to the Detection of Clustered Microcalcifications in Digital Mammograms -- A Methodology for Constructing Expert Systems for Medical Diagnosis -- An Expert System for Microbiological Data Validation and Surveillance -- Hierarchical Clustering of Female Urinary Incontinence Data Having Noise and Outliers -- ACMD: A Practical Tool for Automatic Neural Net Based Learning -- Development of a Mammographic Analysis System Using Computer Vision Techniques -- Improvement of a Mammographic CAD System for Mass Detection -- Classification of Gene Expression Data in an Ontology -- Feature Selection Algorithms Applied to Parkinson's Disease -- A New Model for AIDS Survival Analysis -- A Frequent Patterns Tree Approach for Rule Generation with Categorical Septic Shock Patient Data -- Analysis of Medical Diagnostic Images via the Implementation and Access to a Safe DICOMPACS with a Web Interface: Analysis of Contrast-enhanced CT Imaging of Oral and Oropharyngeal Carcinomas -- Classification of HEp-2 Cells Using Fluorescent Image Analysis and Data Mining -- Multitask Pattern Recognition Algorithm for the Medical Decision Support System -- The Analysis of Hospital Episodes -- Electroshock Effects Identification Using Classification Based on Rules -- Advanced Visualization of 3D data of Intravascular Ultrasound images -- Investigations on Stability and Overoptimism of Classification Trees by Using Cross-Validation -- A Case-Based Approach for the Classification of Medical Time Series -- Binary Vector or Real Value Coding for Secondary Structure Prediction? A Case Study of Polyproline Type II Prediction -- Notes on Medical Decision Model Creation -- Refining the Knowledge Base of an Otoneurological Expert System -- Segmentation of Color Fundus Images of the Human Retina: Detection of the Optic Disc and the Vascular Tree Using Morphological Techniques -- Learning Structural Knowledge from the ECG -- Recurrence Quantification Analysis to Characterise the Heart Rate Variability Before the Onset of Ventricular Tachycardia -- Learning Bayesian-Network Topologies in Realistic Medical Domains.

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