Using machine learning techniques to reduce uncertainty for outpatient appointment scheduling practices in outpatient clinics
Davood Golmohammadi, Lingyu Zhao, David Dreyfus
| Year of publication: |
2023
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|---|---|
| Authors: | Golmohammadi, Davood ; Zhao, Lingyu ; Dreyfus, David |
| Published in: |
Omega : the international journal of management science. - Oxford [u.a.] : Elsevier, ISSN 0305-0483, ZDB-ID 124502-8. - Vol. 120.2023, p. 1-17
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| Subject: | Data mining | Decision making model | Healthcare | Patient scheduling | Simulation | Krankenhaus | Hospital | Scheduling-Verfahren | Scheduling problem | Patienten | Patients | Gesundheitsversorgung | Health care | Künstliche Intelligenz | Artificial intelligence | Data Mining | Ambulante Behandlung | Ambulatory care | Prozessmanagement | Business process management | Algorithmus | Algorithm | Management-Informationssystem | Management information system |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.omega.2023.102907 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014445941