Healthcare risk modeling for medicaid patients the impact of sampling on the prediction of high-cost patients

HEALTHINF 2008 - 1st International Conference on Health Informatics, Proceedings

Volumn 1, Issue , 2008, Pages 126-133

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

^a Arizona State University   (United States)

^b ARIZONA STATE UNIVERSITY   (United States)

Author keywords

Classification; Data mining; Healthcare costs; High cost patients; High risk patients; Imbalanced data; Medicaid; Non random sampling; Over sampling; Predictive risk modeling; Skewed data; Under sampling

Indexed keywords

CLASSIFICATION; HEALTHCARE COSTS; HIGH-COST PATIENTS; HIGH-RISK PATIENTS; IMBALANCED DATA; MEDICAID; NON-RANDOM SAMPLING; OVER-SAMPLING; PREDICTIVE RISK MODELING; SKEWED DATA; UNDER-SAMPLING;

COSTS; DATA MINING; DATA PROCESSING; HEALTH; HEALTH CARE; HEALTH INSURANCE; HEALTH RISKS; INFORMATION MANAGEMENT; RANDOM PROCESSES; RISK ANALYSIS; RISK ASSESSMENT;

COST BENEFIT ANALYSIS;

EID: 57349083185     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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