title: Using "big data" to dissect clinical heterogeneity.
authors.affiliation: From the Departments of Bioengineering, Genetics, and Medicine (R.B.A.) and Departments of Medicine, Genetics, and Pathology (E.A.A.), Stanford University, Stanford, CA. russ.altman@stanford.edu.
authors.forename: Russ B
authors.initials: RB
authors.lastname: Altman
authors.affiliation: From the Departments of Bioengineering, Genetics, and Medicine (R.B.A.) and Departments of Medicine, Genetics, and Pathology (E.A.A.), Stanford University, Stanford, CA.
authors.forename: Euan A
authors.initials: EA
authors.lastname: Ashley
mesh_terms: D005260:Female; D006333:Heart Failure / Q000175:diagnosis* / Q000503:physiopathology*; D006801:Humans; D008297:Male; D010641:Phenotype; D013318:Stroke Volume / Q000502:physiology*
keywords: Editorials; artificial intelligence; cluster analysis; data collection; informatics