PropertyValue
is ?:annotates of
?:authorAffiliation
  • [\'Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, No. 16, Nanxiao Street, Dongzhimen, Dongcheng District, Beijing, 100700, Beijing, China.\', \'Department of Infectious Diseases, JinYinTan Hospital, Wuhan, 430040, China.\', \'Information Center, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.\', \'Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, No. 16, Nanxiao Street, Dongzhimen, Dongcheng District, Beijing, 100700, Beijing, China. lv_cheng0816@163.com.\', \'National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, No. 16, Nanxiao Street, Dongzhimen, Dongcheng District, Beijing, 100700, Beijing, China. Huangluqi01@126.com.\']
?:citedBy
  • -1
?:creator
?:doi
?:doi
  • 10.1186/s40249-022-00946-4
?:hasPublicationType
?:journal
  • Infectious diseases of poverty
is ?:pmid of
?:pmid
?:pmid
  • 35177120
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • 1.212
?:rankingScore_hIndex
  • 20
?:title
  • Comparing different machine learning techniques for predicting COVID-19 severity.
?:type
?:year
  • 2022

Metadata

Anon_0  
expand all