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Screening for Prediabetes Using Machine Learning Models

Authors
 Soo Beom Choi  ;  Won Jae Kim  ;  Tae Keun Yoo  ;  Jee Soo Park  ;  Jai Won Chung  ;  Yong-ho Lee  ;  Eun Seok Kang  ;  Deok Won Kim 
Citation
 Computer Methods and Programs in Biomedicine, Vol.2014 : 618976, 2014 
Journal Title
 Computer Methods and Programs in Biomedicine 
ISSN
 1748-670X 
Issue Date
2014
Abstract
The global prevalence of diabetes is rapidly increasing. Studies support the necessity of screening and interventions for prediabetes, which could result in serious complications and diabetes. This study aimed at developing an intelligence-based screening model for prediabetes. Data from the Korean National Health and Nutrition Examination Survey (KNHANES) were used, excluding subjects with diabetes. The KNHANES 2010 data (n = 4685) were used for training and internal validation, while data from KNHANES 2011 (n = 4566) were used for external validation. We developed two models to screen for prediabetes using an artificial neural network (ANN) and support vector machine (SVM) and performed a systematic evaluation of the models using internal and external validation. We compared the performance of our models with that of a screening score model based on logistic regression analysis for prediabetes that had been developed previously. The SVM model showed the areas under the curve of 0.731 in the external datasets, which is higher than those of the ANN model (0.729) and the screening score model (0.712), respectively. The prescreening methods developed in this study performed better than the screening score model that had been developed previously and may be more effective method for prediabetes screening.
Files in This Item:
T201402408.pdf Download
DOI
10.1155/2014/618976
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Medical Engineering (의학공학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
Yonsei Authors
Kang, Eun Seok(강은석) ORCID logo https://orcid.org/0000-0002-0364-4675
Kim, Deok Won(김덕원)
Kim, Won Jae(김원재) ORCID logo https://orcid.org/0000-0003-3472-5432
Lee, Yong Ho(이용호) ORCID logo https://orcid.org/0000-0002-6219-4942
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URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/99315
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