Explainable Artificial Intelligence and Process Mining Applications for Healthcare, Kartoniert / Broschiert
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
(soweit verfügbar beim Lieferanten)
- Herausgeber:
- Jose M. Juarez, Marcos Sepulveda, Alfredo Vellido, Carlos Fernandez-Llatas, Concha Bielza, Owen Johnson, Primoz Kocbek, Pedro Larrañaga, Niels Martin, Jorge Munoz-Gama, Gregor ¿Tiglic
- Verlag:
- Springer, 02/2024
- Einband:
- Kartoniert / Broschiert, Paperback
- Sprache:
- Englisch
- ISBN-13:
- 9783031543029
- Artikelnummer:
- 11782792
- Umfang:
- 144 Seiten
- Gewicht:
- 230 g
- Maße:
- 235 x 155 mm
- Stärke:
- 9 mm
- Erscheinungstermin:
- 26.2.2024
- Hinweis
-
Achtung: Artikel ist nicht in deutscher Sprache!
Klappentext
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.