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A data-driven procedure of providing a health promotion program for hypertension prevention SSCI SCOPUS

Title
A data-driven procedure of providing a health promotion program for hypertension prevention
Authors
Lee, J.Kwon, R.-H.Kim, H.W.Kang, S.-H.Kim, K.-J.Jun, C.-H.
Date Issued
2018-09
Publisher
INFORMS
Abstract
We propose a two-step procedure based on data analytics to help service providers to efficiently and effectively implement a health promotion program to prevent hypertension. First, we developed a prediction model to identify people who are at risk for developing hypertension. Then, to eliminate specific risk factors for each of these individuals, we proposed four methods to create an index that represents the importance of each intervention program, which is a subprogram of the health promotion program. This index can be used to recommend appropriate intervention programs for each individual. We used the national sample cohort database of South Korea to offer a case study of the implementation of the proposed procedure. The constructed prediction model using logistic regression has adequate accuracy, and the proposed index that uses different methods has similar results to those of a doctor. This two-step procedure by automatic modeling based on data will be useful to save human resources and to provide informative and personalized results based on individual healthcare records. © 2018 INFORMS.
URI
https://oasis.postech.ac.kr/handle/2014.oak/94956
DOI
10.1287/serv.2018.0220
ISSN
2164-3962
Article Type
Article
Citation
Service Science, vol. 10, no. 3, page. 289 - 301, 2018-09
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김광재KIM, KWANG JAE
Dept of Industrial & Management Enginrg
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