典型文献
Role of artificial intelligence in the diagnosis of COVID-19: A mini review
文献摘要:
The ongoing COVID-19 pandemic due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has resulted in a significant public health care system crisis. This disease has resulted in devastating damage to human lives and significant disruption in economies. Use of "machine-learning" algorithms as tools of artificial intelligence may help identify a suspected or infected individual with an estimation of chances of survival. These algorithms make use of recorded observational data including medical histories, patient demographics as well as any related data on COVID-19.
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作者姓名:
Rajeesh Mohammed PK;Saakshi Gulati;Shivangi Gupta
作者机构:
Department of Oral Pathology and Microbiology,KMCT Dental College,Kerala,India;Department of Oral Medicine and Radiology,Sathyabama Dental College and Hospital,Chennai,India;Department of Periodontics and Implantology,MMCDSR Deemed to be University,Mullana,Ambala,India
文献出处:
引用格式:
[1]Rajeesh Mohammed PK;Saakshi Gulati;Shivangi Gupta-.Role of artificial intelligence in the diagnosis of COVID-19: A mini review)[J].急性病杂志(英文版),2022(05):168-172
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AB值:
0.754424
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