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

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

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).

本文言語English
ホスト出版物のタイトルHEALTHINF 2015 - 8th International Conference on Health Informatics, Proceedings; Part of 8th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2015
編集者Christine Verdier, Marta Bienkiewicz, Ana Fred, Hugo Gamboa, Dirk Elias
出版社SciTePress
ページ502-507
ページ数6
ISBN(電子版)9789897580680
DOI
出版ステータスPublished - 2015
イベント8th International Conference on Health Informatics, HEALTHINF 2015 - Lisbon, Portugal
継続期間: 2015 1月 122015 1月 15

出版物シリーズ

名前HEALTHINF 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
国/地域Portugal
CityLisbon
Period15/1/1215/1/15

ASJC Scopus subject areas

  • 健康情報管理
  • コンピュータ サイエンスの応用
  • 電子工学および電気工学
  • 健康情報学
  • 信号処理

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