Improving Prediction of High-Cost Health Care Users with Medical Check-Up Data-Reference-Cited by-同舟云学术

Improving Prediction of High-Cost Health Care Users with Medical Check-Up Data

Published:2019-09-01 Issue:3 Volume:7 Page:163-175
ISSN:2167-6461
Container-title:Big Data
language:en
Short-container-title:Big Data

Author:

Kim Yeonkook J.¹,Park Hayoung²

Affiliation:

1. College of Business, Chungbuk National University, Cheongju, Republic of Korea.

2. Technology Management, Economics and Policy Graduate Program, Department of Industrial Engineering, Seoul National University, Seoul, Republic of Korea.

Publisher

Mary Ann Liebert Inc

Subject

Information Systems and Management,Computer Science Applications,Information Systems

Link

https://www.liebertpub.com/doi/pdf/10.1089/big.2018.0096

Reference48 articles.

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2. 2. StantonMW, RutherfordM. The high concentration of U.S. health care expenditures. Washington, DC: Agency for Healthcare Research and Quality, 2006.

3. Predicting patient ‘cost blooms’ in Denmark: a longitudinal population-based study

4. High-Cost Users of Prescription Drugs: A Population-Based Analysis from British Columbia, Canada

5. Predicting Persistently High Primary Care Use

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