Using machine learning to predict laboratory test results

American Journal of Clinical Pathology

Volumn 145, Issue 6, 2016, Pages 778-788

  Luo, Yuan ^a   Szolovits, Peter ^a   Dighe, Anand S ^b,c   Baron, Jason M ^b,c  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b MASSACHUSETTS GENERAL HOSPITAL   (United States)

^c HARVARD MEDICAL SCHOOL   (United States)

Author keywords

Clinical decision support; Computational pathology; Ferritin; Imputation; Machine learning; Statistical diagnosis

Indexed keywords

FERRITIN; IRON;

ABNORMAL LABORATORY RESULT; ADULT; AGED; ALGORITHM; ARTICLE; CLINICAL DECISION SUPPORT SYSTEM; CLINICAL LABORATORY; COMPUTER PREDICTION; CONTROLLED STUDY; DATA EXTRACTION; DEMOGRAPHY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DIAGNOSTIC VALUE; FEMALE; HUMAN; IRON DEFICIENCY; LABORATORY TEST; MACHINE LEARNING; MAJOR CLINICAL STUDY; MALE; MEDICAL RECORD REVIEW; NUTRITIONAL STATUS; PRIORITY JOURNAL; PROOF OF CONCEPT; STATISTICAL ANALYSIS; BLOOD; DECISION SUPPORT SYSTEM; MIDDLE AGED;

ADULT; AGED; ALGORITHMS; DECISION SUPPORT SYSTEMS, CLINICAL; DECISION SUPPORT TECHNIQUES; FEMALE; FERRITINS; HUMANS; MACHINE LEARNING; MALE; MIDDLE AGED;

EID: 85013740060     PISSN: 00029173     EISSN: 19437722     Source Type: Journal    
DOI: 10.1093/ajcp/aqw064     Document Type: Article

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