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1 Ergebnisse
1
Prediction of Length of Stay in Hospitals using Ensemble Ma..:
, In:
2023 2nd International Conference on Futuristic Technologies (INCOFT)
,
Ramurs, Varun H
;
C, Shreyas
;
Bangalore, Raghu A
- p. 1-6 , 2023
Link:
https://doi.org/10.1109/INCOFT60753.2023.10425377
RT T1 <cTitle>2023 2nd International Conference on Futuristic Technologies (INCOFT)</cTitle>: T1 <Title>Prediction of Length of Stay in Hospitals using Ensemble Machine Learning Models</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10425377&Exemplar=1&LAN=DE A1 Ramurs, Varun H A1 C, Shreyas A1 Bangalore, Raghu A YR 2023 K1 Measurement K1 Logistic regression K1 Hospitals K1 Predictive models K1 Planning K1 Resource management K1 Random forests K1 Length of Stay K1 Machine Learning K1 Ensemble Machine Learning Models K1 Classifier K1 Regressor SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/INCOFT60753.2023.10425377 DO https://doi.org/10.1109/INCOFT60753.2023.10425377 SF ELIB - SuUB Bremen
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