A mathematical model for predicting length of postoperative intensive care requirement following cardiac surgery in an Indian hospital
Goutam Dutta, Ajay Naik, Dipa Gosai, Priyanko Ghosh
| Year of publication: |
2021
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|---|---|
| Authors: | Dutta, Goutam ; Naik, Ajay ; Gosai, Dipa ; Ghosh, Priyanko |
| Published in: |
Opsearch : journal of the Operational Research Society of India. - New Delhi : Springer India, ISSN 0975-0320, ZDB-ID 2516085-0. - Vol. 58.2021, 2, p. 330-350
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| Subject: | Health services | Medicine | Statistics | Forecasting | Regression | Developing countries | Krankenhaus | Hospital | Prognoseverfahren | Forecasting model | Indien | India | Gesundheitsversorgung | Health care | Entwicklungsländer | Gesundheitswesen | Health care system | Regressionsanalyse | Regression analysis | Dienstleistungsqualität | Service quality | Gesundheitskosten | Health care costs | Herzkrankheit | Heart disease |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s12597-020-00480-7 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012548784