Reinforcement Learning Based Diagnosis and Prediction for COVID-19 by Optimizing a Mixed Cost Function From CT Images

A novel coronavirus disease (COVID-19) is a pandemic disease has caused 4 million deaths and more than 200 million infections worldwide (as of August 4, 2021). Rapid and accurate diagnosis of COVID-19 infection is critical to controlling the spread of the epidemic. In order to quickly and efficientl...

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Veröffentlicht in:	IEEE journal of biomedical and health informatics 2022-11, Vol.26 (11), p.5344-5354
Hauptverfasser:	Chen, Siying, Liu, Minghui, Deng, Pan, Deng, Jiali, Yuan, Yi, Cheng, Xuan, Xie, Tianshu, Xie, Libo, Zhang, Wei, Gong, Haigang, Wang, Xiaomin, Xu, Lifeng, Pu, Hong, Liu, Ming
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Computed tomography Coronaviruses Cost function COVID-19 Datasets Deep learning Diagnosis Disease control Diseases Epidemics Image quality Infections Learning Lesions Medical diagnosis Medical imaging mixed cost function Pandemics prediction Predictions Reinforcement Reinforcement learning Training Viral diseases
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