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Finding missed cases of familial hypercholesterolemia in health systems using machine learning.
Banda, Juan M; Sarraju, Ashish; Abbasi, Fahim; Parizo, Justin; Pariani, Mitchel; Ison, Hannah; Briskin, Elinor; Wand, Hannah; Dubois, Sebastien; Jung, Kenneth; Myers, Seth A; Rader, Daniel J; Leader, Joseph B; Murray, Michael F; Myers, Kelly D; Wilemon, Katherine; Shah, Nigam H; Knowles, Joshua W.
Affiliation
  • Banda JM; 1Center for Biomedical Informatics Research, Stanford University, Stanford, CA USA.
  • Sarraju A; 2Department of Computer Science, Georgia State University, Atlanta, GA USA.
  • Abbasi F; 3Cardiovascular Medicine and Cardiovascular Institute, Stanford University, Stanford, CA USA.
  • Parizo J; 3Cardiovascular Medicine and Cardiovascular Institute, Stanford University, Stanford, CA USA.
  • Pariani M; 3Cardiovascular Medicine and Cardiovascular Institute, Stanford University, Stanford, CA USA.
  • Ison H; 3Cardiovascular Medicine and Cardiovascular Institute, Stanford University, Stanford, CA USA.
  • Briskin E; 3Cardiovascular Medicine and Cardiovascular Institute, Stanford University, Stanford, CA USA.
  • Wand H; 3Cardiovascular Medicine and Cardiovascular Institute, Stanford University, Stanford, CA USA.
  • Dubois S; 3Cardiovascular Medicine and Cardiovascular Institute, Stanford University, Stanford, CA USA.
  • Jung K; 1Center for Biomedical Informatics Research, Stanford University, Stanford, CA USA.
  • Myers SA; 1Center for Biomedical Informatics Research, Stanford University, Stanford, CA USA.
  • Rader DJ; Atomo, Inc, Austin, TX USA.
  • Leader JB; 5Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA USA.
  • Murray MF; 6The FH Foundation, Pasadena, CA USA.
  • Myers KD; 7Geisinger Health System, Genomic Medicine Institute, Forty Fort, PA USA.
  • Wilemon K; 8Center for Genomic Health, Yale University, New Haven, CT USA.
  • Shah NH; Atomo, Inc, Austin, TX USA.
  • Knowles JW; 6The FH Foundation, Pasadena, CA USA.
NPJ Digit Med ; 2: 23, 2019.
Article in En | MEDLINE | ID: mdl-31304370
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Prognostic_studies Language: En Journal: NPJ Digit Med Year: 2019 Document type: Article Country of publication:
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Prognostic_studies Language: En Journal: NPJ Digit Med Year: 2019 Document type: Article Country of publication: