Method of screening the health of persons with high risk for potential lifestyle-related diseases using LDA: Toward a better screening method for persons with high health risks

Keisuke Ogawa, Kazunori Matsumoto, Masayuki Hashimoto, Ryoichi Nagatomi

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

1 Citation (Scopus)

Abstract

Recently, the number of patients with lifestyle-related diseases, such as diabetes mellitus, has increased dramatically. Lifestyle-related diseases are responsible for 60% of deaths in Japan. In order to screen persons at potentially high risk for these diseases, medical checkups for metabolic syndrome are used throughout Japan. Prediction and prevention of lifestyle-related diseases would yield a direct reduction in medical costs. However, many cases cannot be screened with a metabolic syndrome checkup. In this paper, we propose a new machine-learning-based screening method using medical checkup data and medical billings. By processing the medical data into a bag-of-words representation and classifying the health factors using latent Dirichlet allocation (LDA), the screening method achieves high accuracy. We evaluate the method by comparing the accuracy of predictions of the future incidence of the diseases. The results show that F-measure increases 0.17 compared with the conventional method. In addition, we confirmed that the proposed method classified persons with different health risk factors, such as a combination of metabolic disorders, hypertensive disorders, and mental disorders (stress).

Original languageEnglish
Title of host publicationHEALTHINF 2015 - 8th International Conference on Health Informatics, Proceedings; Part of 8th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2015
EditorsChristine Verdier, Marta Bienkiewicz, Ana Fred, Hugo Gamboa, Dirk Elias
PublisherSciTePress
Pages502-507
Number of pages6
ISBN (Electronic)9789897580680
DOIs
Publication statusPublished - 2015
Event8th International Conference on Health Informatics, HEALTHINF 2015 - Lisbon, Portugal
Duration: 2015 Jan 122015 Jan 15

Publication series

NameHEALTHINF 2015 - 8th International Conference on Health Informatics, Proceedings; Part of 8th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2015

Other

Other8th International Conference on Health Informatics, HEALTHINF 2015
Country/TerritoryPortugal
CityLisbon
Period15/1/1215/1/15

Keywords

  • LDA
  • Latent dirichlet allocation
  • Lifestyle-related disease
  • Metabolic syndrome

ASJC Scopus subject areas

  • Health Information Management
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Health Informatics
  • Signal Processing

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