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1 Ergebnisse
1
Machine Learning on Stroke Risk Prediction Systems as Compl..:
, In:
2022 IEEE 14th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)
,
Lucas, Chrischell
;
Padrique, Kathrina Clarisse
;
Christa Lansangan, Mariah
... - p. 1-6 , 2022
Link:
https://doi.org/10.1109/HNICEM57413.2022.10109527
RT T1
2022 IEEE 14th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)
: T1
Machine Learning on Stroke Risk Prediction Systems as Complementary Technology for Neurologists: A Critical Review
UL https://suche.suub.uni-bremen.de/peid=ieee-10109527&Exemplar=1&LAN=DE A1 Lucas, Chrischell A1 Padrique, Kathrina Clarisse A1 Christa Lansangan, Mariah A1 Isabel Gusi, Maria Jena A1 Lubag, Marian A1 Concepcion, Ronnie A1 Lauguico, Sandy A1 Vicerra, Ryan Rhay A1 G. Naguib, Raouf N. YR 2022 SN 2770-0682 K1 Industries K1 Machine learning algorithms K1 Machine learning K1 Medical services K1 Predictive models K1 Prediction algorithms K1 Market research K1 digital healthcare K1 graphical user interface K1 machine learning K1 stroke prediction algorithm K1 stroke risk SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/HNICEM57413.2022.10109527 DO https://doi.org/10.1109/HNICEM57413.2022.10109527 SF ELIB - SuUB Bremen
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