Predicting glaucomatous progression with piecewise regression model from heterogeneous medical data

Kyosuke Tomoda, Kai Morino, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

6 被引用数 (Scopus)

抄録

This study aims to accurately predict glaucomatous visual-field loss from patient disease data. In general, medical data show two kinds of heterogeneity: 1) internal heterogeneity, in which the phase of disease progression changes in an individual patient's time series dataset; and 2) external heterogeneity, in which the trends of disease progression differ among patients. Although some previous methods have addressed the external heterogeneity, the internal heterogeneity has never been taken into account in predictions of glaucomatous progression. Here, we developed a novel framework for dealing with the two kinds of heterogeneity to predict glaucomatous progression using a piecewise linear regression (PLR) model. We empirically demonstrate that our method significantly improves the accuracy of predicting visual-field loss compared with existing methods, and can successfully treat the two kinds of heterogeneity often observed in medical data.

本文言語英語
ホスト出版物のタイトルHEALTHINF 2016 - 9th International Conference on Health Informatics, Proceedings; Part of 9th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2016
編集者Haim Azhari, Hesham Ali, Ana Fred, James Gilbert, Carolina Ruiz, Jan Sliwa, Carla Quintao, Hugo Gamboa
出版社SciTePress
ページ93-104
ページ数12
ISBN(電子版)9789897581700
出版ステータス出版済み - 2016
外部発表はい
イベント9th International Conference on Health Informatics, HEALTHINF 2016 - Part of 9th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2016 - Rome, イタリア
継続期間: 2 21 20162 23 2016

出版物シリーズ

名前HEALTHINF 2016 - 9th International Conference on Health Informatics, Proceedings; Part of 9th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2016

会議

会議9th International Conference on Health Informatics, HEALTHINF 2016 - Part of 9th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2016
Countryイタリア
CityRome
Period2/21/162/23/16

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Electrical and Electronic Engineering

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引用スタイル