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Authors: Sai T. Moturu ; Huan Liu and William G. Johnson

Affiliation: Arizona State University, United States

ISBN: 978-989-8111-16-6

ISSN: 2184-4305

Keyword(s): Predictive risk modeling, healthcare costs, high-cost patients, high-risk patients, non-random sampling, over-sampling, under-sampling, imbalanced data, skewed data, Medicaid, data mining, classification.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Business Analytics ; Cardiovascular Technologies ; Computing and Telecommunications in Cardiology ; Data Engineering ; Data Mining ; Databases and Information Systems Integration ; Datamining ; Enterprise Information Systems ; Health Engineering and Technology Applications ; Health Information Systems ; Medical and Nursing Informatics ; Sensor Networks ; Signal Processing ; Soft Computing

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.

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Paper citation in several formats:
T. Moturu S.; Liu H.; G. Johnson W. and (2008). HEALTHCARE RISK MODELING FOR MEDICAID PATIENTS - The Impact of Sampling on the Prediction of High-Cost Patients.In Proceedings of the First International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2008) ISBN 978-989-8111-16-6, pages 126-133. DOI: 10.5220/0001043301260133

@conference{healthinf08,
author={Sai {T. Moturu} and Huan Liu and William {G. Johnson}},
title={HEALTHCARE RISK MODELING FOR MEDICAID PATIENTS - The Impact of Sampling on the Prediction of High-Cost Patients},
booktitle={Proceedings of the First International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2008)},
year={2008},
pages={126-133},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001043301260133},
isbn={978-989-8111-16-6},
}

TY - CONF

JO - Proceedings of the First International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2008)
TI - HEALTHCARE RISK MODELING FOR MEDICAID PATIENTS - The Impact of Sampling on the Prediction of High-Cost Patients
SN - 978-989-8111-16-6
AU - T. Moturu, S.
AU - Liu, H.
AU - G. Johnson, W.
PY - 2008
SP - 126
EP - 133
DO - 10.5220/0001043301260133

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