An explainable artificial intelligence approach using graph learning to predict intensive care unit length of stay
Tianjian Guo, Indranil R. Bardhan, Ying Ding, Shichang Zhang
| Year of publication: |
2025
|
|---|---|
| Authors: | Guo, Tianjian ; Bardhan, Indranil R. ; Zhang, Shichang |
| Published in: |
Information systems research : ISR. - Linthicum, Md. : INFORMS, ISSN 1526-5536, ZDB-ID 2027203-0. - Vol. 36.2025, 3, p. 1478-1501
|
| Subject: | machine learning | prediction | deep learning | explainable AI | graph learning | intensive care unit | length of stay | perturbation analysis | user study | Künstliche Intelligenz | Artificial intelligence | Krankenhaus | Hospital | Graphentheorie | Graph theory | Lernprozess | Learning process | Prognoseverfahren | Forecasting model | Algorithmus | Algorithm | Lernen | Learning | Lernende Organisation | Learning organization | Dauer | Duration |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1287/isre.2023.0029 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015553777