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1 Ergebnisse
1
Forecasting the Survival and Mortality of Patients by Machi..:
, In:
2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)
,
Rawat, Satyendra Singh
;
Mishra, Amit Kumar
;
Motwani, Deepak
- p. 1-6 , 2024
Link:
https://doi.org/10.1109/IATMSI60426.2024.10502741
RT T1 <cTitle>2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)</cTitle>: T1 <Title>Forecasting the Survival and Mortality of Patients by Machine Learning Trained on Heart Failure Clinical Imbalanced Data</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10502741&Exemplar=1&LAN=DE A1 Rawat, Satyendra Singh A1 Mishra, Amit Kumar A1 Motwani, Deepak YR 2024 K1 Measurement K1 Heart K1 Technological innovation K1 Cardiac arrest K1 Predictive models K1 Feature extraction K1 Data models K1 Feature engineering K1 Heart attack prediction K1 Machine learning K1 Performance measures SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/IATMSI60426.2024.10502741 DO https://doi.org/10.1109/IATMSI60426.2024.10502741 SF ELIB - SuUB Bremen
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