LEADER 07766nam 22008175 450 001 9910143607903321 005 20200704062248.0 010 $a3-540-39949-6 024 7 $a10.1007/3-540-39949-6 035 $a(CKB)1000000000211377 035 $a(SSID)ssj0000324739 035 $a(PQKBManifestationID)11254262 035 $a(PQKBTitleCode)TC0000324739 035 $a(PQKBWorkID)10313421 035 $a(PQKB)11619016 035 $a(DE-He213)978-3-540-39949-0 035 $a(MiAaPQ)EBC3072761 035 $a(PPN)155229370 035 $a(EXLCZ)991000000000211377 100 $a20121227d2000 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aMedical Data Analysis $eFirst International Symposium, ISMDA 2000 Frankfurt, Germany, September 29-30, 2000 Proceedings /$fedited by Rüdiger W. Brause, Ernst Hanisch 205 $a1st ed. 2000. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2000. 215 $a1 online resource (XII, 320 p.) 225 1 $aLecture Notes in Computer Science,$x0302-9743 ;$v1933 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-41089-9 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aKeynote Lectures -- Medical Decision Support Systems -- Medical Bayes Networks -- Synchronization Analysis of Bivariate Time Series and Its Application to Medical Data -- A Survey of Data Mining Techniques -- Time Series Analysis -- Prognoses for Multiparametric Time Courses -- Estimation of the Time Delay of Epileptic Spikes by ICA -- Change-Point Detection in Kinetic Signals -- Hierarchical Clustering of Functional MRI Time-Series by Deterministic Annealing -- Classification of Electro-encephalographic Spatial Patterns -- Detection and Classification of Sleep-Disordered Breathing Using Acoustic Respiratory Input Impedance and Nasal Pressure -- Some Statistical Methods in Intensive Care Online Monitoring ? A Review -- Entropy Measures in Heart Rate Variability Data -- Determinism and Nonlinearity of the Heart Rhythm -- Bayes Networks -- Feature Subset Selection Using Probabilistic Tree Structures. A Case Study in the Survival of Cirrhotic Patients Treated with TIPS -- Deconvolution and Credible Intervals using Markov Chain Monte Carlo Method -- Graphical Explanation in Bayesian Networks -- Neural Nets -- About the Analysis of Septic Shock Patient Data -- Data Mining and Knowledge Discovery in Medical Applications Using Self-Organizing Maps -- Analysis of Nonlinear Differential Equations: Parameter Estimation and Model Selection -- Machine Learning -- Medical Expert Evaluation of Machine Learning Results for a Coronary Heart Disease Database -- Combining Methodical Procedures from Knowledge Discovery in Databases and Individual-Oriented Simulation -- Incosistency Tests for Patient Records in a Coronary Heart Disease Database -- Architectures for Data Aquisition and Data Analysis -- A MATLAB-Based Software Tool for Changepoint Detection and Nonlinear Regression in Dose-Response Relationships -- A Web-Based Electronic Patient Record System as a Means for Collection of Clinical Data -- The InterAction Database: Synergy of Science and Practice in Pharmacy -- Medical Informatics and Modeling -- A New Computerized Method to Verify and Disseminate Medical Appropriateness Criteria -- Pharmacokinetic & -dynamic Drug Information and Dosage Adjustment System Pharmdis -- Discrete Simulations of Cadaver Kidney Allocation Schemes -- Bootstrap and Cross-Validation to Assess Complexity of Data-Driven Regression Models -- Genetic and Fuzzy Algorithms -- Genetic Programming Optimisation of Nuclear Magnetic Resonance Pulse Shapes -- Application of a Genetic Programming Based Rule Discovery System to Recurring Miscarriage Data -- Detecting of Fatigue States of a Car Driver -- Operator Method of Fuzzification -- Medical Data Mining -- A System for Monitoring Nosocomial Infections -- A Data Mining Alternative to Model Hospital Operations: Filtering, Adaption and Behaviour Prediction -- Selection of Informative Genes in Gene Expression Based Diagnosis: A Nonparametric Approach -- Principal Component Analysis for Descriptive Epidemiology. 330 $aIt is a pleasure for us to present the contributions of the First International Symposium on Medical Data Analysis. Traditionally, the eld of medical data analysis can be devided into classical topics such as medical statistics, sur- val analysis, biometrics and medical informatics. Recently, however, time series analysis by physicists, machine learning and data mining with methods such as neural networks, Bayes networks or fuzzy computing by computer scientists have contributed important ideas to the led of medical data analysis. Although all these groups have similar intentions, there was nearly no exchange or discussion between them. With the growing possibilities for storing and ana- zing patient data, even in smaller health care institutions, the need for a rational treatment of all these data emerged as well. Therefore, the need for data exchange and presentation systems grew also. The goal of the symposium is to collect all these relevant aspects together. It provides an international forum for the sharing and exchange of original re- arch results, ideas and practical experiences among researchers and application developers from di erent areas related to medical applications dealing with the analysis of medical data. After a thorough reviewing process, 33 high quality papers were selected from the 45 international submissions. These contributions provided the di erent - pects of the eld in order to represent us with an exciting program. 410 0$aLecture Notes in Computer Science,$x0302-9743 ;$v1933 606 $aArtificial intelligence 606 $aDatabase management 606 $aMedicine 606 $aInformation storage and retrieval 606 $aComputer science?Mathematics 606 $aPattern recognition 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024 606 $aMedicine/Public Health, general$3https://scigraph.springernature.com/ontologies/product-market-codes/H00007 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 606 $aMathematics of Computing$3https://scigraph.springernature.com/ontologies/product-market-codes/I17001 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 615 0$aArtificial intelligence. 615 0$aDatabase management. 615 0$aMedicine. 615 0$aInformation storage and retrieval. 615 0$aComputer science?Mathematics. 615 0$aPattern recognition. 615 14$aArtificial Intelligence. 615 24$aDatabase Management. 615 24$aMedicine/Public Health, general. 615 24$aInformation Storage and Retrieval. 615 24$aMathematics of Computing. 615 24$aPattern Recognition. 676 $a610/.7/27 702 $aBrause$b Rüdiger W$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHanisch$b Ernst$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aInternational Symposium on Medical Data Analysis$d(1st :$f2000 :$eFrankfurt, Germany) 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910143607903321 996 $aMedical Data Analysis$92065524 997 $aUNINA