Probabilistic techniques for obtaining accurate patient counts in Clinical Data Warehouses

Journal of Biomedical Informatics

Volumn 44, Issue SUPPL. 1, 2011, Pages

  Myers, Risa B ^a,b,c   Herskovic, Jorge R ^a  

^a UNIVERSITY OF TEXAS   (United States)

^b UTHealth School of Biomedical Informatics   (United States)

^c RICE UNIVERSITY   (United States)

Author keywords

Bayes' Theorem; Computerized; Databases; Medical records system; Probabilistic models; Probability

Indexed keywords

AVERAGE ERRORS; BAYES' THEOREM; BAYESIAN FRAMEWORKS; CLINICAL DATA WAREHOUSE; CLINICAL TRIAL; COMPUTERIZED; GROUND TRUTH; MEDICAL PHENOMENA; MEDICAL RECORD; PATIENT DATA; PATIENT INFORMATION; POSTERIOR PROBABILITY; PROBABILISTIC APPROACHES; PROBABILISTIC DATABASE; PROBABILISTIC MODELS; PROBABILISTIC TECHNIQUE; QUALITY MEASURES; REPRESENTATIVE SAMPLE; SENSITIVITY AND SPECIFICITY; SIMULATED DATA; SIMULATED PATIENTS;

DATABASE SYSTEMS; HOSPITAL DATA PROCESSING; PROBABILITY; THEOREM PROVING;

DATA WAREHOUSES;

ARTICLE; BAYES THEOREM; BILLING AND CLAIMS; CLINICAL DATA WAREHOUSE; DATA BASE; PATIENT CODING; PRIORITY JOURNAL; PROBABILITY; SENSITIVITY AND SPECIFICITY; SIMULATION;

BAYES THEOREM; DATABASES, FACTUAL; ELECTRONIC HEALTH RECORDS; HUMANS; PATIENTS;

EID: 83955162884     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2011.09.005     Document Type: Article

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