Interpreting Medical Information Using Machine Learning and Individual Conditional Expectation

Yasunobu Nohara, Yoshifumi Wakata, Naoki Nakashima

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

4 被引用数 (Scopus)

抄録

Recently, machine-learning techniques have spread many fields. However, machine-learning is still not popular in medical research field due to difficulty of interpreting. In this paper, we introduce a method of interpreting medical information using machine learning technique. The method gave new explanation of partial dependence plot and individual conditional expectation plot from medical research field.

本文言語英語
ホスト出版物のタイトルMEDINFO 2015
ホスト出版物のサブタイトルeHealth-Enabled Health - Proceedings of the 15th World Congress on Health and Biomedical Informatics
編集者Andrew Georgiou, Indra Neil Sarkar, Paulo Mazzoncini de Azevedo Marques
出版社IOS Press
ページ数1
ISBN(電子版)9781614995630
DOI
出版ステータス出版済み - 1 1 2015
イベント15th World Congress on Health and Biomedical Informatics, MEDINFO 2015 - Sao Paulo, ブラジル
継続期間: 8 19 20158 23 2015

出版物シリーズ

名前Studies in Health Technology and Informatics
216
ISSN(印刷版)0926-9630
ISSN(電子版)1879-8365

その他

その他15th World Congress on Health and Biomedical Informatics, MEDINFO 2015
Countryブラジル
CitySao Paulo
Period8/19/158/23/15

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

フィンガープリント 「Interpreting Medical Information Using Machine Learning and Individual Conditional Expectation」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル