A novel approach to forecast surgery durations using machine learning techniques
Marco Caserta, Antonio García Romero
| Year of publication: |
2024
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|---|---|
| Authors: | Caserta, Marco ; García-Romero, Antonio |
| Published in: |
Health care management science : a new journal serving the international health care management community. - Dordrecht [u.a.] : Springer Science + Business Media B.V., ISSN 1572-9389, ZDB-ID 2006272-2. - Vol. 27.2024, 3, p. 313-327
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| Subject: | Feature importance | Machine learning | Surgery duration | Team composition | Team dynamics | Künstliche Intelligenz | Artificial intelligence | Arbeitsgruppe | Team | Prognoseverfahren | Forecasting model | Chirurgie | Surgery | Dauer | Duration |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s10729-024-09681-8 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015079866