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Predicting Infectious State of Hepatitis C Virus Affected P..:
, In:
2020 IEEE Region 10 Symposium (TENSYMP)
,
Ahammed, Khair
;
Satu, Md. Shahriare
;
Khan, Md. Imran
. - p. 1371-1374 , 2020
Link:
https://doi.org/10.1109/TENSYMP50017.2020.9230464
RT T1
2020 IEEE Region 10 Symposium (TENSYMP)
: T1
Predicting Infectious State of Hepatitis C Virus Affected Patient's Applying Machine Learning Methods
UL https://suche.suub.uni-bremen.de/peid=ieee-9230464&Exemplar=1&LAN=DE A1 Ahammed, Khair A1 Satu, Md. Shahriare A1 Khan, Md. Imran A1 Whaiduzzaman, Md YR 2020 SN 2642-6102 K1 Liver K1 Machine learning K1 Viruses (medical) K1 Radio frequency K1 Feature extraction K1 Support vector machines K1 Decision trees K1 Hepatitis C virus K1 machine learning K1 SMOTE K1 feature selection K1 classification SP 1371 OP 1374 LK http://dx.doi.org/https://doi.org/10.1109/TENSYMP50017.2020.9230464 DO https://doi.org/10.1109/TENSYMP50017.2020.9230464 SF ELIB - SuUB Bremen
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