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1 Ergebnisse
1
By Machine Learning Techniques Predicting Post-COVID-19 Con..:
, In:
2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC)
,
Huang, Pei-Rong
;
Chang, Chih-Hung
;
Chen, Wen-Ching
... - p. 2260-2265 , 2024
Link:
https://doi.org/10.1109/COMPSAC61105.2024.00363
RT T1 <cTitle>2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC)</cTitle>: T1 <Title>By Machine Learning Techniques Predicting Post-COVID-19 Condition</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10633338&Exemplar=1&LAN=DE A1 Huang, Pei-Rong A1 Chang, Chih-Hung A1 Chen, Wen-Ching A1 Hung, Che-Lun A1 Liu, Po-Yu A1 Yeh, Ting-Kuang A1 Wang, Hsiu-Wen A1 Yen, Yu-Chun A1 Chu, William Cheng-Chung YR 2024 SN 2836-3795 K1 COVID-19 K1 Accuracy K1 Pandemics K1 Lung K1 Predictive models K1 Muscles K1 Data models K1 Post-COVID-19 Condition K1 Machine Learning K1 Symptom Analysis K1 Prediction SP 2260 OP 2265 LK http://dx.doi.org/https://doi.org/10.1109/COMPSAC61105.2024.00363 DO https://doi.org/10.1109/COMPSAC61105.2024.00363 SF ELIB - SuUB Bremen
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