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1
The Development of Polycystic Ovary Syndrome Risk Evaluatio..:
, In:
2024 International Conference on Inventive Computation Technologies (ICICT)
,
R, Velvizhi
;
Arya
;
R, Kiruthiknivas
- p. 314-318 , 2024
Link:
https://doi.org/10.1109/ICICT60155.2024.10544691
RT T1 <cTitle>2024 International Conference on Inventive Computation Technologies (ICICT)</cTitle>: T1 <Title>The Development of Polycystic Ovary Syndrome Risk Evaluation System using Advanced Machine Learning Technique</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10544691&Exemplar=1&LAN=DE A1 R, Velvizhi A1 Arya A1 R, Kiruthiknivas YR 2024 SN 2767-7788 K1 Training K1 Support vector machines K1 Productivity K1 Machine learning K1 Predictive models K1 Real-time systems K1 Predictive analytics K1 Polycystic Ovary Syndrome (PCOS) K1 Diagnosis K1 Monitoring K1 Electronic health records K1 Polycystic Ovary Syndrome K1 Personalized treatment K1 Medical outcomes SP 314 OP 318 LK http://dx.doi.org/https://doi.org/10.1109/ICICT60155.2024.10544691 DO https://doi.org/10.1109/ICICT60155.2024.10544691 SF ELIB - SuUB Bremen
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