Abstract

Healthcare data from the Arizona Health Care Cost Containment System, Arizona's Medicaid program provides a unique opportunity to exploit state-of-the-art data processing and analysis algorithms to mine data and provide actionable findings that can aid cost containment. Our work addresses specific challenges in this real-life healthcare application to build predictive risk models for forecasting future high-cost patients. We survey the literature and propose novel data mining approaches customized for this compelling application with specific focus on non-random sampling. Our empirical study indicates that the proposed approach is highly effective and can benefit further research on cost containment in the healthcare industry.

Original languageEnglish (US)
Title of host publicationHEALTHINF 2008 - 1st International Conference on Health Informatics, Proceedings
Pages126-133
Number of pages8
Volume1
StatePublished - 2008
Event1st International Conference on Health Informatics, HEALTHINF 2008 - Funchal, Madeira, Portugal
Duration: Jan 28 2008Jan 31 2008

Other

Other1st International Conference on Health Informatics, HEALTHINF 2008
CountryPortugal
CityFunchal, Madeira
Period1/28/081/31/08

Fingerprint

Cost Control
Medicaid
Sampling
Delivery of Health Care
Costs and Cost Analysis
Costs
Health Care Sector
Data Mining
Health Care Costs
Health care
Data mining
Research
Industry

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

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Cite this

Moturu, S. T., Liu, H., & Johnson, W. (2008). Healthcare risk modeling for medicaid patients the impact of sampling on the prediction of high-cost patients. In HEALTHINF 2008 - 1st International Conference on Health Informatics, Proceedings (Vol. 1, pp. 126-133)

Healthcare risk modeling for medicaid patients the impact of sampling on the prediction of high-cost patients. / Moturu, Sai T.; Liu, Huan; Johnson, William.

HEALTHINF 2008 - 1st International Conference on Health Informatics, Proceedings. Vol. 1 2008. p. 126-133.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Moturu, ST, Liu, H & Johnson, W 2008, Healthcare risk modeling for medicaid patients the impact of sampling on the prediction of high-cost patients. in HEALTHINF 2008 - 1st International Conference on Health Informatics, Proceedings. vol. 1, pp. 126-133, 1st International Conference on Health Informatics, HEALTHINF 2008, Funchal, Madeira, Portugal, 1/28/08.
Moturu ST, Liu H, Johnson W. Healthcare risk modeling for medicaid patients the impact of sampling on the prediction of high-cost patients. In HEALTHINF 2008 - 1st International Conference on Health Informatics, Proceedings. Vol. 1. 2008. p. 126-133
Moturu, Sai T. ; Liu, Huan ; Johnson, William. / 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. Vol. 1 2008. pp. 126-133
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