Evaluation of the financial distress of hospitals through machine learning : an application of AI in healthcare industry
Year of publication: |
2024
|
---|---|
Authors: | Oner, Nurettin ; Zengul, Ferhat D. ; Agirbas, Ismail |
Published in: |
Intelligent systems in accounting, finance & management. - New York, NY [u.a.] : Wiley, ISSN 2160-0074, ZDB-ID 2379344-2. - Vol. 31.2024, 4, Art.-No. e70000, p. 1-11
|
Subject: | artificial intelligence | data mining | financial distress | hospital | machine learning | Künstliche Intelligenz | Artificial intelligence | Krankenhaus | Hospital | Data Mining | Data mining | Insolvenz | Insolvency | Gesundheitsversorgung | Health care |
-
Pérez Rave, Jorge Iván, (2022)
-
Reducing hospital readmission risk using predictive analytics
Mann, Arti, (2024)
-
Basile, Luigi Jesus, (2023)
- More ...
-
Revealing Research Themes and Trends in 30 Top‐ranking Accounting Journals : A Text‐mining Approach
Zengul, Ferhat D., (2021)
-
Zengul, Ferhat D., (2020)
-
A text mining study of topics and trends in health care management journals : 1998-2018
Zengul, Ferhat D., (2022)
- More ...