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1 Ergebnisse
1
Machine Learning Model Deployment Using Real-Time Physiolog..:
, In:
2022 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT)
,
Cao, Hanqing
;
Finer, Joshua
;
Megjhani, Murad
... - p. 42-45 , 2022
Link:
https://doi.org/10.1109/HI-POCT54491.2022.9744076
RT T1 <cTitle>2022 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT)</cTitle>: T1 <Title>Machine Learning Model Deployment Using Real-Time Physiological Monitoring: Use Case of Detecting Delayed Cerebral Ischemia</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9744076&Exemplar=1&LAN=DE A1 Cao, Hanqing A1 Finer, Joshua A1 Megjhani, Murad A1 Nametz, Daniel C. A1 Lorenzi, Virginia A1 Mamykina, Lena A1 Meyers, Richard A1 Rossetti, Sarah C. A1 Park, Soojin YR 2022 K1 Technological innovation K1 Machine learning algorithms K1 Pipelines K1 Point of care K1 Machine learning K1 Real-time systems K1 Data models K1 This creates a machine learning model pipeline that is deployed to clinical settings SP 42 OP 45 LK http://dx.doi.org/https://doi.org/10.1109/HI-POCT54491.2022.9744076 DO https://doi.org/10.1109/HI-POCT54491.2022.9744076 SF ELIB - SuUB Bremen
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