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Explainable Artificial Intelligence and Process Mining Applications for Healthcare Third International Workshop, XAI-Healthcare 2023, and First International Workshop, PM4H 2023, Portoroz, Slovenia, June 15, 2023, Proceedings /

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 Portor...

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Bibliographische Detailangaben
Körperschaft: SpringerLink (Online service)
Weitere Verfasser: Juarez, Jose M. (HerausgeberIn), Fernandez-Llatas, Carlos (HerausgeberIn), Bielza, Concha (HerausgeberIn), Johnson, Owen (HerausgeberIn), Kocbek, Primoz (HerausgeberIn), Larrañaga, Pedro (HerausgeberIn), Martin, Niels (HerausgeberIn), Munoz-Gama, Jorge (HerausgeberIn), Štiglic, Gregor (HerausgeberIn), Sepulveda, Marcos (HerausgeberIn), Vellido, Alfredo (HerausgeberIn)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Ausgabe:1st ed. 2024.
Schriftenreihe:Communications in Computer and Information Science, 2020
Schlagworte:
Artificial intelligence.
Computer science.
Application software.
Computer science > Mathematics.
Data structures (Computer science).
Information theory.
Artificial Intelligence.
Theory of Computation.
Computer and Information Systems Applications.
Mathematics of Computing.
Data Structures and Information Theory.
Online-Zugang:https://doi.org/10.1007/978-3-031-54303-6
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Inhaltsangabe:
  • International 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. .

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