Data mining to predict and prevent errors in health insurance claims processing

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Volumn , Issue , 2010, Pages 65-73

  Kumar, Mohit ^a   Ghani, Rayid ^a   Mei, Zhu Song ^a  

^a ACCENTURE   (United States)

Author keywords

Claim rework identification; Health insurance claims; Machine learning; Predictive system

Indexed keywords

ACTIVE LEARNING; ADMINISTRATIVE STAFF; CLAIM REWORK IDENTIFICATION; CONCEPT DRIFTS; EVALUATION METRICS; FEATURE SELECTION; HEALTH INSURANCE COSTS; HIT RATE; INSURANCE COMPANIES; MACHINE LEARNING TECHNIQUES; MACHINE-LEARNING; ORDER OF MAGNITUDE; PREDICTIVE SYSTEMS; PROBLEM FORMULATION; RESEARCH PROBLEMS;

DATA MINING; ERRORS; FEATURE EXTRACTION; HEALTH; LEARNING SYSTEMS;

HEALTH INSURANCE;

EID: 77956221595     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1835804.1835816     Document Type: Conference Paper

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