Merkzettel Warenkorb
  • Produktbild: Explainable Artificial Intelligence and Process Mining Applications for Healthcare
  • Produktbild: Explainable Artificial Intelligence and Process Mining Applications for Healthcare
Band 2020 - 10%

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

Aus der Reihe Communications in Computer and Information Science
10% sparen

61,99 € UVP 69,54 €

inkl. gesetzl. MwSt., Versandkostenfrei

Lieferung nach Hause

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

26.02.2024

Herausgeber

Owen Johnson + weitere

Verlag

Springer

Seitenzahl

131

Maße (L/B/H)

23,5/15,5/0,9 cm

Gewicht

230 g

Sprache

Englisch

ISBN

978-3-031-54302-9

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

26.02.2024

Herausgeber

Verlag

Springer

Seitenzahl

131

Maße (L/B/H)

23,5/15,5/0,9 cm

Gewicht

230 g

Sprache

Englisch

ISBN

978-3-031-54302-9

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)
  • Produktbild: Explainable Artificial Intelligence and Process Mining Applications for Healthcare
  • Produktbild: Explainable Artificial Intelligence and Process Mining Applications for Healthcare
  • 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.