A high-fidelity model to predict length of stay in the neonatal intensive care unit
Kanix Wang, Walid Hussain, John R. Birge, Michael D. Schreiber, Daniel Adelman
| Year of publication: |
2022
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|---|---|
| Authors: | Wang, Kanix ; Hussain, Walid ; Birge, John R. ; Schreiber, Michael D. ; Adelman, Daniel |
| Published in: |
INFORMS journal on computing : JOC ; charting new directions in operations research and computer science ; a journal of the Institute for Operations Research and the Management Sciences. - Linthicum, Md. : INFORMS, ISSN 1526-5528, ZDB-ID 2004082-9. - Vol. 34.2022, 1, p. 183-195
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| Subject: | computational methods | healthcare | hospitals | nonparametric | statistics | Krankenhaus | Hospital | Gesundheitsversorgung | Health care | Prognoseverfahren | Forecasting model | Nichtparametrisches Verfahren | Nonparametric statistics |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1287/ijoc.2021.1062 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013358916