Predicting changes in systolic blood pressure using longitudinal patient records

Journal of Biomedical Informatics

Volumn 58, Issue , 2015, Pages S197-S202

  Solomon, John Wes ^a   Nielsen, Rodney D ^a  

^a UNIVERSITY OF NORTH TEXAS   (United States)

Author keywords

Blood pressure; Clinical; Informatics; NLP; Prediction; SBP

Indexed keywords

BLOOD PRESSURE;

CLINICAL; FEATURE SELECTION ALGORITHM; INFORMATICS; LEAST MEDIAN SQUARES REGRESSION; NLP; SBP; SYSTOLIC BLOOD PRESSURE; SYSTOLIC BLOOD PRESSURE(SBP);

FORECASTING;

ACCURACY; ALGORITHM; ARTICLE; BLOOD PRESSURE MEASUREMENT; CALCULATION; CORRELATION COEFFICIENT; MATHEMATICAL ANALYSIS; MEDICAL RECORD; PREDICTION; PRIORITY JOURNAL; SYSTOLIC BLOOD PRESSURE; BLOOD PRESSURE; COMPUTER ASSISTED DIAGNOSIS; DATA MINING; ELECTRONIC HEALTH RECORD; HUMAN; LONGITUDINAL STUDY; PROCEDURES; PROGNOSIS; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICS AND NUMERICAL DATA;

BLOOD PRESSURE; BLOOD PRESSURE DETERMINATION; DATA INTERPRETATION, STATISTICAL; DATA MINING; DIAGNOSIS, COMPUTER-ASSISTED; ELECTRONIC HEALTH RECORDS; HEALTH RECORDS, PERSONAL; HUMANS; LONGITUDINAL STUDIES; PROGNOSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84939533532     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2015.06.024     Document Type: Article

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