LEADER 05778nam 22007935 450 001 996466422303316 005 20200701143117.0 010 $a3-030-37446-7 024 7 $a10.1007/978-3-030-37446-4 035 $a(CKB)4900000000505015 035 $a(DE-He213)978-3-030-37446-4 035 $a(MiAaPQ)EBC6005583 035 $a(PPN)242844839 035 $a(EXLCZ)994900000000505015 100 $a20200103d2019 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems$b[electronic resource] $eAIME 2019 International Workshops, KR4HC/ProHealth and TEAAM, Poznan, Poland, June 26?29, 2019, Revised Selected Papers /$fedited by Mar Marcos, Jose M. Juarez, Richard Lenz, Grzegorz J. Nalepa, Slawomir Nowaczyk, Mor Peleg, Jerzy Stefanowski, Gregor Stiglic 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (XII, 175 p. 56 illus., 42 illus. in color.) 225 1 $aLecture Notes in Artificial Intelligence ;$v11979 311 $a3-030-37445-9 327 $aKR4HC/ProHealth - Joint Workshop on Knowledge Representation for Health Care and Process-Oriented Information Systems in Health Care -- A practical exercise on re-engineering clinical guideline models using different representation languages -- A method for goal-oriented guideline modeling in PROforma and ist preliminary evaluation -- Differential diagnosis of bacterial and viral meningitis using Dominance-Based Rough Set Approach -- Modelling ICU Patients to Improve Care Requirements and Outcome Prediction of Acute Respiratory Distress Syndrome: A Supervised Learning Approach -- Deep learning for haemodialysis time series classification -- TEAAM - Workshop on Transparent, Explainable and Affective AI in Medical Systems -- Towards Understanding ICU Treatments using Patient Health Trajectories -- An Explainable Approach of Inferring Potential Medication Effects from Social Media Data -- Exploring antimicrobial resistance prediction using post-hoc interpretable methods -- Local vs. Global Interpretability of Machine Learning Models in Type 2 Diabetes Mellitus Screening -- A Computational Framework towards Medical Image Explanation -- A Computational Framework for Interpretable Anomaly Detection and Classification of Multivariate Time Series with Application to Human Gait Data Analysis -- Self-organizing maps using acoustic features for prediction of state change in bipolar disorder -- Explainable machine learning for modeling of early postoperative mortality in lung cancer. . 330 $aThis book constitutes revised selected papers from the AIME 2019 workshops KR4HC/ProHealth 2019, the Workshop on Knowledge Representation for Health Care and Process-Oriented Information Systems in Health Care, and TEAAM 2019, the Workshop on Transparent, Explainable and Affective AI in Medical Systems. The volume contains 5 full papers from KR4HC/ProHealth, which were selected out of 13 submissions. For TEAAM 8 papers out of 10 submissions were accepted for publication. 410 0$aLecture Notes in Artificial Intelligence ;$v11979 606 $aArtificial intelligence 606 $aOptical data processing 606 $aComputer organization 606 $aComputers 606 $aEducation?Data processing 606 $aApplication software 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aComputer Systems Organization and Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13006 606 $aInformation Systems and Communication Service$3https://scigraph.springernature.com/ontologies/product-market-codes/I18008 606 $aComputers and Education$3https://scigraph.springernature.com/ontologies/product-market-codes/I24032 606 $aComputer Applications$3https://scigraph.springernature.com/ontologies/product-market-codes/I23001 615 0$aArtificial intelligence. 615 0$aOptical data processing. 615 0$aComputer organization. 615 0$aComputers. 615 0$aEducation?Data processing. 615 0$aApplication software. 615 14$aArtificial Intelligence. 615 24$aImage Processing and Computer Vision. 615 24$aComputer Systems Organization and Communication Networks. 615 24$aInformation Systems and Communication Service. 615 24$aComputers and Education. 615 24$aComputer Applications. 676 $a610.285 702 $aMarcos$b Mar$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aJuarez$b Jose M$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLenz$b Richard$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aNalepa$b Grzegorz J$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aNowaczyk$b Slawomir$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPeleg$b Mor$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aStefanowski$b Jerzy$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aStiglic$b Gregor$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466422303316 996 $aArtificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems$92507062 997 $aUNISA