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Predicting Length of Stay for Cardiovascular Hospitalizatio..:
, In:
2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
,
Alsinglawi, Belal
;
Alnajjar, Fady
;
Mubin, Omar
... - p. 5442-5445 , 2020
Link:
https://doi.org/10.1109/EMBC44109.2020.9175889
RT T1 <cTitle>2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)</cTitle>: T1 <Title>Predicting Length of Stay for Cardiovascular Hospitalizations in the Intensive Care Unit: Machine Learning Approach</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9175889&Exemplar=1&LAN=DE A1 Alsinglawi, Belal A1 Alnajjar, Fady A1 Mubin, Omar A1 Novoa, Mauricio A1 Alorjani, Mohammed A1 Karajeh, Ola A1 Darwish, Omar YR 2020 SN 1558-4615 K1 Predictive models K1 Heart K1 Machine learning K1 Hospitals K1 Biological system modeling K1 Mathematical model K1 Tuning SP 5442 OP 5445 LK http://dx.doi.org/https://doi.org/10.1109/EMBC44109.2020.9175889 DO https://doi.org/10.1109/EMBC44109.2020.9175889 SF ELIB - SuUB Bremen
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