Predictive risk modelling for forecasting high-cost patients: A real-world application using Medicaid data

International Journal of Biomedical Engineering and Technology

Volumn 3, Issue 1-2, 2010, Pages 114-132

  Moturu, Sai T ^a,c   Johnson, William G ^b,d   Liu, Huan ^a  

^a Arizona State University   (United States)

^b ARIZONA STATE UNIVERSITY   (United States)

^c MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^d ARIZONA STATE UNIVERSITY   (United States)

Author keywords

Data mining; Healthcare expenditures; High cost patients; Imbalanced data classification; Medicaid; Non random sampling; Predictive risk modelling; Risk adjustment; Skewed data

Indexed keywords

DATA MINING; HEALTH CARE; HEALTH INSURANCE; RISK ASSESSMENT;

HIGH COSTS; IMBALANCED DATA; MEDICAID; RANDOM SAMPLING; RISK ADJUSTMENT; RISK MODELLING; SKEWED DATA;

COST BENEFIT ANALYSIS;

EID: 78651569779     PISSN: 17526418     EISSN: 17526426     Source Type: Journal    
DOI: 10.1504/IJBET.2010.029654     Document Type: Article

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