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A comparative study of machine learning approaches for hear..:
, In:
2023 International Conference on Smart Applications, Communications and Networking (SmartNets)
,
Das, Madhab Chandra
;
Liza, Fatema Tabassum
;
Pandit, Partha Pratim
... - p. 1-6 , 2023
Link:
https://doi.org/10.1109/SmartNets58706.2023.10216049
RT T1 <cTitle>2023 International Conference on Smart Applications, Communications and Networking (SmartNets)</cTitle>: T1 <Title>A comparative study of machine learning approaches for heart stroke prediction</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10216049&Exemplar=1&LAN=DE A1 Das, Madhab Chandra A1 Liza, Fatema Tabassum A1 Pandit, Partha Pratim A1 Tabassum, Fariha A1 Mamun, Miraz Al A1 Bhattacharjee, Sharmistha A1 Kashem, Md Shakil Bin YR 2023 K1 Heart K1 Support vector machines K1 Radio frequency K1 Measurement K1 Logistic regression K1 Machine learning algorithms K1 Stroke (medical condition) K1 Heart Stroke K1 AdaBoost K1 Random Forest K1 Heart Stroke prediction K1 Machine learning techniques SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/SmartNets58706.2023.10216049 DO https://doi.org/10.1109/SmartNets58706.2023.10216049 SF ELIB - SuUB Bremen
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