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000 nam5i
001 2210080933774
003 DE-He213
005 20250321105243
007 cr nn 008mamaa
008 240225s2024 sz | s |||| 0|eng d
020 a97830315430369978-3-031-54303-6
024 a10.1007/978-3-031-54303-62doi
040 a221008
050 aQ334-342
050 aTA347.A78
072 aUYQ2bicssc
072 aCOM0040002bisacsh
072 aUYQ2thema
082 a006.3223
245 00 aExplainable Artificial Intelligence and Process Mining Applications for Healthcareh[electronic resource] :bThird International Workshop, XAI-Healthcare 2023, and First International Workshop, PM4H 2023, Portoroz, Slovenia, June 15, 2023, Proceedings /cedited by Jose M. Juarez, Carlos Fernandez-Llatas, Concha Bielza, Owen Johnson, Primoz Kocbek, Pedro Larrañaga, Niels Martin, Jorge Munoz-Gama, Gregor Štiglic, Marcos Sepulveda, Alfredo Vellido.
250 a1st ed. 2024.
264 aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.
300 aXII, 131 p. 59 illus., 47 illus. in color.bonline resource.
336 atextbtxt2rdacontent
337 acomputerbc2rdamedia
338 aonline resourcebcr2rdacarrier
347 atext filebPDF2rda
490 aCommunications in Computer and Information Science,x1865-0937 ;v2020
505 aInternational Workshop on Explainable Artificial Intelligence in Healthcare -- Unlocking the Power of Explainability in Ranking Systems: A Visual Analytics Approach with XAI Techniques -- Explainable Artificial Intelligence Solutions for Musculoskeletal Rehabilitation -- An Explainable AI Framework for Treatment Failure Model for Oncology Patients -- Feature selection in bipolar disorder episode classification using cost-constrained methods -- ProbExplainer: A library for unified explainability of probabilistic models and an application in interneuron classification -- Interpreting Machine Learning models for Survival Analysis: A study of Cutaneous Melanoma using the SEER Database -- Explanations of Symbolic Reasoning to Effect Patient Persuasion and Education -- International Workshop on Process Mining applications for Healthcare -- PMApp: an Interactive Process Mining toolkit for building Healthcare Dashboards -- A data-driven framework for improving clinical management of severe paralytic ileus in ICU: From path discovery, model generation to empirical validation -- Phenotypes vs Processes: supporting the disease progression understanding in Type 2 Diabetes -- From Script to Application. A bupaR-PMApp Bridge for Process Mining Research -- Understanding Prostate Cancer care process using Process Mining: a Case Study. .
520 aThis book constitutes the proceedings of the Third International Workshop on Explainable Artificial Intelligence in Healthcare, XAI-Healthcare 2023, and the First International Workshop on Process Mining Applications for Healthcare, PM4H 2023, which took place in conjunction with AIME 2023 in Portoroz, Slovenia, on June 15, 2023. The 7 full papers included from XAI-Healthcare were carefully reviewed and selected from 11 submissions. They focus on all aspects of eXplainable Artificial Intelligence (XAI) in the medical and healthcare field. For PM4H 5 papers have been accepted from 17 submissions. They deal with data-driven process analysis techniques in healthcare. .
650 aArtificial intelligence.
650 aComputer science.
650 aApplication software.
650 aComputer sciencexMathematics.
650 aData structures (Computer science).
650 aInformation theory.
650 aArtificial Intelligence.
650 aTheory of Computation.
650 aComputer and Information Systems Applications.
650 aMathematics of Computing.
650 aData Structures and Information Theory.
700 aJuarez, Jose M.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt
700 aFernandez-Llatas, Carlos.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt
700 aBielza, Concha.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt
700 aJohnson, Owen.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt
700 aKocbek, Primoz.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt
700 aLarrañaga, Pedro.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt
700 aMartin, Niels.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt
700 aMunoz-Gama, Jorge.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt
700 aŠtiglic, Gregor.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt
700 aSepulveda, Marcos.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt
700 aVellido, Alfredo.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt
710 aSpringerLink (Online service)
773 tSpringer Nature eBook
776 iPrinted edition:z9783031543029
776 iPrinted edition:z9783031543043
830 aCommunications in Computer and Information Science,x1865-0937 ;v2020
856 uhttps://doi.org/10.1007/978-3-031-54303-6
912 aZDB-2-SCS
912 aZDB-2-SXCS
950 aComputer Science (SpringerNature-11645)
950 aComputer Science (R0) (SpringerNature-43710)
Explainable Artificial Intelligence and Process Mining Applications for Healthcare[electronic resource] :Third International Workshop, XAI-Healthcare 2023, and First International Workshop, PM4H 2023, Portoroz, Slovenia, June 15, 2023, Proceedings /edited by Jose M. Juarez, Carlos Fernandez-Llatas, Concha Bielza, Owen Johnson, Primoz Kocbek, Pedro Larrañaga, Niels Martin, Jorge Munoz-Gama, Gregor Štiglic, Marcos Sepulveda, Alfredo Vellido
Material type
전자책
Title
Explainable Artificial Intelligence and Process Mining Applications for Healthcare[electronic resource] :Third International Workshop, XAI-Healthcare 2023, and First International Workshop, PM4H 2023, Portoroz, Slovenia, June 15, 2023, Proceedings /edited by Jose M. Juarez, Carlos Fernandez-Llatas, Concha Bielza, Owen Johnson, Primoz Kocbek, Pedro Larrañaga, Niels Martin, Jorge Munoz-Gama, Gregor Štiglic, Marcos Sepulveda, Alfredo Vellido
판 사항
1st ed. 2024.
Physical Description
XII, 131 p 59 illus, 47 illus in color online resource.
Keyword
This book constitutes the proceedings of the Third International Workshop on Explainable Artificial Intelligence in Healthcare, XAI-Healthcare 2023, and the First International Workshop on Process Mining Applications for Healthcare, PM4H 2023, which took place in conjunction with AIME 2023 in Portoroz, Slovenia, on June 15, 2023. The 7 full papers included from XAI-Healthcare were carefully reviewed and selected from 11 submissions. They focus on all aspects of eXplainable Artificial Intelligence (XAI) in the medical and healthcare field. For PM4H 5 papers have been accepted from 17 submissions. They deal with data-driven process analysis techniques in healthcare. .
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