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is ?:annotates of
?:authorAffiliation
  • [\'Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China.\', \'Shanghai Key Laboratory of Artificial Intelligence for Medical Image and Knowledge Graph, Shanghai, 200051, China.\', \'Institute of Healthcare Research, Yizhi, Shanghai, China.\', \'Shanghai Key Laboratory of Artificial Intelligence for Medical Image and Knowledge Graph, Shanghai, 200051, China. qizhang.fdu@gmail.com.\', \'Institute of Healthcare Research, Yizhi, Shanghai, China. qizhang.fdu@gmail.com.\', \'Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai, China. qizhang.fdu@gmail.com.\', \'School of Communication and Information Engineering, Shanghai University, Shanghai, China. qizhang.fdu@gmail.com.\', \'Fudan University, Shanghai, China.\', \'Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China. shiyx828288@163.com.\']
?:citedBy
  • -1
?:creator
?:doi
  • 10.1186/s12890-021-01592-6
?:doi
?:hasPublicationType
?:journal
  • BMC pulmonary medicine
is ?:pmid of
?:pmid
?:pmid
  • 34256743
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • 1.373
?:rankingScore_hIndex
  • 46
is ?:relation_isRelatedTo_publication of
?:title
  • Longitudinal trajectories of pneumonia lesions and lymphocyte counts associated with disease severity among convalescent COVID-19 patients: a group-based multi-trajectory analysis.
?:type
?:year
  • 2021

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