PropertyValue
is ?:annotates of
?:authorAffiliation
  • [\'Department of Population Health Sciences, Weill Cornell Medicine, New York, New York, USA.\', \'Department of Emergency Medicine, Weill Cornell Medicine, New York, New York, USA.\', \'Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA.\', \'Department of Medicine, Weill Cornell Medicine, New York, New York, USA.\', \'Courant Institute of Mathematical Sciences, New York University, New York, New York, USA.\', \'Department of Population Health, New York University School of Medicine, New York, New York, USA.\']
?:citedBy
  • -1
?:creator
?:doi
  • 10.1093/jamia/ocab203
?:doi
?:hasPublicationType
?:journal
  • Journal of the American Medical Informatics Association : JAMIA
is ?:pmid of
?:pmid
?:pmid
  • 34571540
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • 1.848
?:rankingScore_hIndex
  • 127
is ?:relation_isRelatedTo_publication of
?:title
  • Deep significance clustering: a novel approach for identifying risk-stratified and predictive patient subgroups.
?:type
?:year
  • 2021

Metadata

Anon_0  
expand all