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A Methodology for Estimating Hospital Intensive Care Unit L..:
, In:
2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA)
,
Williams Batista, Roberto
;
Sanchez-Arias, Reinaldo
- p. 827-832 , 2020
Link:
https://doi.org/10.1109/ICMLA51294.2020.00135
RT T1
2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA)
: T1
A Methodology for Estimating Hospital Intensive Care Unit Length of Stay Using Novel Machine Learning Tools
UL https://suche.suub.uni-bremen.de/peid=ieee-9356186&Exemplar=1&LAN=DE A1 Williams Batista, Roberto A1 Sanchez-Arias, Reinaldo YR 2020 K1 Hospitals K1 Pulmonary diseases K1 Supervised learning K1 MIMICs K1 Machine learning K1 Predictive models K1 Tools K1 tidymodels K1 prediction K1 electronic health records K1 ICU K1 length of stay SP 827 OP 832 LK http://dx.doi.org/https://doi.org/10.1109/ICMLA51294.2020.00135 DO https://doi.org/10.1109/ICMLA51294.2020.00135 SF ELIB - SuUB Bremen
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