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1
A Deep Learning Framework for Prognosis Patients with COVID..:
, In:
2024 Third International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS)
,
Shaik, Mohammad Khaja
;
Vanaparthi, Kiranmai
;
Swarnalatha, Gundala
... - p. 1-6 , 2024
Link:
https://doi.org/10.1109/INCOS59338.2024.10527475
RT T1 <cTitle>2024 Third International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS)</cTitle>: T1 <Title>A Deep Learning Framework for Prognosis Patients with COVID-19</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10527475&Exemplar=1&LAN=DE A1 Shaik, Mohammad Khaja A1 Vanaparthi, Kiranmai A1 Swarnalatha, Gundala A1 Reddy, Pundru Chandra Shaker A1 Dalai, Rama Prasanna A1 Jayaram, B YR 2024 K1 Deep learning K1 COVID-19 K1 Surveys K1 Time-frequency analysis K1 Biological system modeling K1 Time series analysis K1 Signal processing algorithms K1 deep Learning K1 Clinical Route K1 Prognosis K1 Mortality risk prediction SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/INCOS59338.2024.10527475 DO https://doi.org/10.1109/INCOS59338.2024.10527475 SF ELIB - SuUB Bremen
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