LEADER 08408nam 22008175 450 001 9910768459303321 005 20200705094722.0 010 $a3-540-45497-7 024 7 $a10.1007/3-540-45497-7 035 $a(CKB)1000000000211596 035 $a(SSID)ssj0000324741 035 $a(PQKBManifestationID)11912696 035 $a(PQKBTitleCode)TC0000324741 035 $a(PQKBWorkID)10314939 035 $a(PQKB)10061802 035 $a(DE-He213)978-3-540-45497-7 035 $a(MiAaPQ)EBC3072526 035 $a(PPN)155179586 035 $a(EXLCZ)991000000000211596 100 $a20121227d2001 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aMedical Data Analysis $eSecond International Symposium, ISMDA 2001, Madrid, Spain, October 8-9, 2001 Proceedings /$fedited by Jose Crespo, Victor Maojo, Fernando Martin 205 $a1st ed. 2001. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2001. 215 $a1 online resource (X, 314 p.) 225 1 $aLecture Notes in Computer Science,$x0302-9743 ;$v2199 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-42734-1 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aMedical 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. 330 $aThe 2nd International Symposium on Medical Data Analysis (ISMDA 2001) was the continuation of the successful ISMDA 2000, a conference held in Fra- furt, Germany, in September 2000. The ISMDA conferences were conceived to integrate interdisciplinary research from scienti?c ?elds such as statistics, s- nal processing, medical informatics, data mining, and biometrics for biomedical data analysis. A number of academic and professional people from those ?elds, including computer scientists, statisticians, physicians, engineers, and others, - alized that new approaches were needed to apply successfully all the traditional techniques, methods, and tools of data analysis to medicine. ISMDA 2001, as its predecessor, aimed to provide an international forum for sharing and exchanging original research ideas and practical development ex- riences. This year we broadened the scope of the conference, to included methods for image analysis and bioinformatics. Both are exciting scienti?c research ?elds and it was clear to the scienti?c committee that they had to be included in the areas of interest. Medicine has been one of the most di?cult application areas for computing. The number and importance of the di?erent issues involved suggests why many data analysis researchers ?nd the medical domain such a challenging ?eld. New interactive approaches are needed to solve these problems. 410 0$aLecture Notes in Computer Science,$x0302-9743 ;$v2199 606 $aArtificial intelligence 606 $aMedicine 606 $aDatabase management 606 $aInformation storage and retrieval 606 $aMathematical statistics 606 $aPattern perception 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aBiomedicine, general$3https://scigraph.springernature.com/ontologies/product-market-codes/B0000X 606 $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 606 $aProbability and Statistics in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/I17036 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 615 0$aArtificial intelligence. 615 0$aMedicine. 615 0$aDatabase management. 615 0$aInformation storage and retrieval. 615 0$aMathematical statistics. 615 0$aPattern perception. 615 14$aArtificial Intelligence. 615 24$aBiomedicine, general. 615 24$aDatabase Management. 615 24$aInformation Storage and Retrieval. 615 24$aProbability and Statistics in Computer Science. 615 24$aPattern Recognition. 676 $a610.727 702 $aCrespo$b Jose$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMaojo$b Victor$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMartin$b Fernando$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910768459303321 996 $aMedical Data Analysis$92065524 997 $aUNINA