Development of a data-mining algorithm to identify ages at reproductive milestones in Electronic medical records

Pacific Symposium on Biocomputing

Volumn , Issue , 2014, Pages 376-387

  Malinowski, Jennifer ^a   Farber Eger, Eric ^a   Crawford, Dana C ^a  

^a VANDERBILT UNIVERSITY MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLINICAL RESEARCH; HEALTH INSURANCE; MEDICAL COMPUTING;

DATA MINING ALGORITHM; ELECTRONIC MEDICAL RECORD; ELECTRONIC MEDICAL RECORDS (EMRS); EPIDEMIOLOGIC-STUDY; FEDERAL GOVERNMENTS; NATURALLY OCCURRING; POTENTIAL RESEARCHES; VANDERBILT UNIVERSITY;

DATA MINING;

ADOLESCENT; ADULT; AGE; ALGORITHM; ARTICLE; BIOLOGY; CHILD; DATA MINING; ELECTRONIC MEDICAL RECORD; FEMALE; GENETICS; HUMAN; MENARCHE; MENOPAUSE; MIDDLE AGED; REPRODUCTIVE HISTORY; STATISTICS; UNITED STATES;

ADOLESCENT; ADULT; AGE FACTORS; ALGORITHMS; CHILD; COMPUTATIONAL BIOLOGY; DATA MINING; ELECTRONIC HEALTH RECORDS; FEMALE; HUMANS; MENARCHE; MENOPAUSE; MIDDLE AGED; REPRODUCTIVE HISTORY; TENNESSEE;

EID: 84905888485     PISSN: 23356928     EISSN: 23356936     Source Type: Journal    
DOI: None     Document Type: Conference Paper

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