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Predicting the Blood Culture Positivity from Hematological ..:
, In:
2023 3rd International Conference on Intelligent Technologies (CONIT)
,
V, Sreedhar
;
Moni, Merlin
;
Sathyapalan, Dipu T.
... - p. 1-4 , 2023
Link:
https://doi.org/10.1109/CONIT59222.2023.10205846
RT T1 <cTitle>2023 3rd International Conference on Intelligent Technologies (CONIT)</cTitle>: T1 <Title>Predicting the Blood Culture Positivity from Hematological Parameters using Machine Learning Model</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10205846&Exemplar=1&LAN=DE A1 V, Sreedhar A1 Moni, Merlin A1 Sathyapalan, Dipu T. A1 Thomas, Jisha A1 Raj, Jina A1 Sidharthan, Neeraj A1 Pathinarupothi, Rahul Krishnan YR 2023 K1 Microorganisms K1 Antibiotics K1 Organizations K1 Predictive models K1 Sepsis K1 Decision trees K1 Blood K1 Neutropenic sepsis K1 Microbial organism prediction K1 Antimicrobial resistance K1 Machine learning models SP 1 OP 4 LK http://dx.doi.org/https://doi.org/10.1109/CONIT59222.2023.10205846 DO https://doi.org/10.1109/CONIT59222.2023.10205846 SF ELIB - SuUB Bremen
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