Medical Data Analysis Second International Symposium, ISMDA 2001, Madrid, Spain, October 8-9, 2001 Proceedings
The 2nd International Symposium on Medical Data Analysis (ISMDA 2001) was the continuation of the successful ISMDA 2000, a conference held in Fra- furt, Germany, in September 2000. The ISMDA conferences were conceived to integrate interdisciplinary research from scienti?c ?elds such as statistics, s...
Other Authors: | , , |
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Format: | eBook |
Language: | English |
Published: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2001, 2001
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Edition: | 1st ed. 2001 |
Series: | Lecture Notes in Computer Science
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Subjects: | |
Online Access: | |
Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- 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 andSurveillance
- 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
- 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
- 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 VentricularTachycardia
- Learning Bayesian-Network Topologies in Realistic Medical Domains