LEADER 07763nam 22008175 450 001 996466173303316 005 20200706083609.0 010 $a3-319-64265-0 024 7 $a10.1007/978-3-319-64265-9 035 $a(CKB)4340000000061656 035 $a(DE-He213)978-3-319-64265-9 035 $a(MiAaPQ)EBC6286139 035 $a(MiAaPQ)EBC5590744 035 $a(Au-PeEL)EBL5590744 035 $a(OCoLC)1001286945 035 $a(PPN)203849957 035 $a(EXLCZ)994340000000061656 100 $a20170725d2017 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aInformation Technology in Bio- and Medical Informatics$b[electronic resource] $e8th International Conference, ITBAM 2017, Lyon, France, August 28?31, 2017, Proceedings /$fedited by Miroslav Bursa, Andreas Holzinger, M. Elena Renda, Sami Khuri 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (X, 135 p. 37 illus.) 225 1 $aInformation Systems and Applications, incl. Internet/Web, and HCI ;$v10443 300 $aIncludes index. 311 $a3-319-64264-2 327 $aIntro -- Preface -- Organization -- Contents -- Editorial -- IT in Biology & Medical Informatics: On the Challenge of Understanding the Data Ecosystem -- 1 Life Science and Medicine as Data Science -- 2 Challenge: Understanding the Data Ecosystem -- 3 Conclusion -- References -- General Track -- A Hybrid Feature Selection Method to Classification and Its Application in Hypertension Diagnosis -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data -- 2.2 Feature Selection -- 3 Experiment and Results -- 3.1 Generation of Target Population -- 3.2 Hybrid Feature Selection -- 3.3 Bayesian Network -- 3.4 Experimental Results -- 4 Conclusion -- Acknowledgment -- References -- Statistical Analysis of Perinatal Risk Factors for Emergency Caesarean Section -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset -- 2.2 Population and Inclusion Criteria -- 2.3 Features -- 2.4 Statistical Evaluation -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Modelling of Cancer Patient Records: A Structured Approach to Data Mining and Visual Analytics -- Abstract -- 1 Introduction -- 1.1 Background -- 1.2 Case Study - University Hospital Southampton -- 2 Methodology -- 2.1 Process-Driven Framework -- 2.2 Data Warehousing -- 2.3 Data Mining and Modelling -- 2.4 Visualisation -- 3 Clinical Data -- 3.1 Data Sources and Understanding -- 3.2 Data Pre-processing -- 3.3 Multi-dimensional Modelling -- 4 Results -- 4.1 Visual Analytics -- 4.2 Data Mining and Analytics -- 4.3 Discussion -- 5 Conclusion -- Acknowledgements -- References -- Poster Session -- Contextual Decision Making for Cancer Diagnosis -- 1 Introduction -- 2 Model and Decision Analytic Model -- 3 Cancer Diagnosis and Modeling Cancer Diagnosis -- 3.1 Cancer and Cancer Diagnosis -- 3.2 Modeling Cancer Diagnosis -- 4 Computer Aided/Assisted Diagnosis (CAD). 327 $a5 Context and the Role of Context in Medical Decision Making -- 5.1 Context -- 5.2 Modeling Context for Medical Decision Making -- 6 Critical Discussion and Our Approach -- 6.1 Discussion -- 6.2 Our Contribution -- 7 Conclusion -- References -- A Review of Model Prediction in Diabetes and of Designing Glucose Regulators Based on Model Predictive Control for the Artificial Pancreas -- 1 Introduction -- 2 Datasets -- 3 Evaluation Criteria -- 4 Prediction Models -- 4.1 Linear/Nonlinear Dynamic Models -- 4.2 Neural Network Models -- 5 Results -- 6 Artificial Pancreas - Model Predictive Control -- 7 Discussion -- 8 Conclusion -- References -- Audit Trails in OpenSLEX: Paving the Road for Process Mining in Healthcare -- 1 Motivation -- 2 Background -- 2.1 Standardized Audit Trails -- 2.2 OpenSLEX Meta Model -- 3 Problem -- 4 Approach -- 4.1 Mapping of ATNA Messages to OpenSLEX -- 4.2 Transformation of ATNA Messages -- 5 Conclusion and Future Work -- References -- Riemannian Geometry in Sleep Stage Classification -- 1 Introduction -- 2 Materials and Methods -- 2.1 Covariance Matrix -- 2.2 Riemannian Geometry -- 2.3 Classification in Riemannian Geometry -- 3 Experimental Results -- 3.1 Data Description -- 3.2 Results -- 4 Conclusion and Discussion -- References -- The Use of Convolutional Neural Networks in Biomedical Data Processing -- 1 Introduction -- 1.1 Motivation and Clinical View -- 2 Data and Methodology -- 2.1 Input Dataset Description -- 2.2 Preprocessing and Feature Extraction -- 3 Experimental Part -- 3.1 Methodology and Experiment Design -- 3.2 Evaluation -- 4 Conclusion and Final Results -- References -- Reducing Red Blood Cell Transfusions -- Abstract -- 1 Introduction -- 2 Problem Domain -- 3 Classification -- 4 Implementation Details -- 4.1 Data Implementation -- 4.2 User Implementation -- 5 Analyzing and Improving the Algorithm. 327 $a5.1 Changes from User Acceptance Testing -- 5.2 Supervised Learning -- 5.3 Phase Two -- 6 Results -- 7 Future Work -- 8 Conclusions -- References -- Author Index. 330 $aThis book constitutes the refereed proceedings of the 8th International Conference on Information Technology in Bio- and Medical Informatics, ITBAM 2017, held in Lyon, France, in August 2017. The 3 revised full papers and 6 poster papers presented were carefully reviewed and selected from 15 submissions. The papers address a broad range of topics in applications of information technology to biomedical engineering and medical informatics. 410 0$aInformation Systems and Applications, incl. Internet/Web, and HCI ;$v10443 606 $aData mining 606 $aInformation storage and retrieval 606 $aArtificial intelligence 606 $aBioinformatics 606 $aApplication software 606 $aComputers 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aComputational Biology/Bioinformatics$3https://scigraph.springernature.com/ontologies/product-market-codes/I23050 606 $aComputer Appl. in Social and Behavioral Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/I23028 606 $aComputing Milieux$3https://scigraph.springernature.com/ontologies/product-market-codes/I24008 615 0$aData mining. 615 0$aInformation storage and retrieval. 615 0$aArtificial intelligence. 615 0$aBioinformatics. 615 0$aApplication software. 615 0$aComputers. 615 14$aData Mining and Knowledge Discovery. 615 24$aInformation Storage and Retrieval. 615 24$aArtificial Intelligence. 615 24$aComputational Biology/Bioinformatics. 615 24$aComputer Appl. in Social and Behavioral Sciences. 615 24$aComputing Milieux. 676 $a610.285 702 $aBursa$b Miroslav$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHolzinger$b Andreas$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRenda$b M. Elena$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKhuri$b Sami$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466173303316 996 $aInformation Technology in Bio- and Medical Informatics$92829811 997 $aUNISA