Pattern recognition in health insurance claims databases

Pharmacoepidemiology and Drug Safety

Volumn 10, Issue 5, 2001, Pages 393-397

  Walker, Alexander M ^a  

^a HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

Neural networks; Pattern recognition; Propensity scores

Indexed keywords

ANTIBIOTIC AGENT; CISAPRIDE; FENTANYL; NONSTEROID ANTIINFLAMMATORY AGENT; OPIATE;

ADULT; ARTICLE; AUTOMATION; CODING; CONTROLLED STUDY; DATA BASE; DISEASE CLASSIFICATION; DISEASE COURSE; FEMALE; HEALTH CARE FINANCING; HEALTH INSURANCE; HISTORY; HUMAN; HYPOTHESIS; INFORMATION PROCESSING; INFORMATION SYSTEM; MALE; MEDICAL INFORMATION; NOMENCLATURE; PATTERN RECOGNITION; PRIORITY JOURNAL; QUALITY CONTROL; VALIDATION PROCESS;

DATABASES; HEALTH SERVICES RESEARCH; HUMANS; INSURANCE CLAIM REVIEW; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; QUALITY CONTROL; SOFTWARE VALIDATION; TERMINOLOGY;

EID: 0035207417     PISSN: 10538569     EISSN: None     Source Type: Journal    
DOI: 10.1002/pds.611     Document Type: Article

References (4)

1. Contraindicated medications dispensed with cisapride: Temporal trends in relation to the sending of 'Dear Doctor' letters
2. Use of insurance claims in epidemiologic research: Identification of peptic ulcers, GI bleeding, pancreatitis, hepatitis and renal disease
3. Peptic ulcer and gastrointestinal hemorrhage associated with NSAID use in patients under 65 years of age
4. Prediction and cross-validation of neural networks versus logistic regression: Using hepatic disorders as an example