Toward personalized treatment of chronic diseases - The CKD case study

Chih Yang Chen, Chun Nan Chou, I. Wen Wu

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

1 Citation (Scopus)

Abstract

Chronic diseases greatly influence the patients' life and incur the bulk of healthcare costs. Medical treatments should be personalized to consider individual variance. In this study, we take a first step toward personalized treatment of chronic kidney disease by formulating two prediction problems. We utilize random forest to learn the prediction models, and the preliminary results look promising.

Original languageEnglish
Title of host publicationMMHealth 2017 - Proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care, co-located with MM 2017
PublisherAssociation for Computing Machinery, Inc
Pages73-76
Number of pages4
ISBN (Electronic)9781450355049
DOIs
Publication statusPublished - Oct 23 2017
Externally publishedYes
Event2nd International Workshop on Multimedia for Personal Health and Health Care, MMHealth 2017 - Mountain View, United States
Duration: Oct 23 2017 → …

Publication series

NameMMHealth 2017 - Proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care, co-located with MM 2017

Conference

Conference2nd International Workshop on Multimedia for Personal Health and Health Care, MMHealth 2017
Country/TerritoryUnited States
CityMountain View
Period10/23/17 → …

Keywords

  • Chronic kidney disease
  • Personalized medicine

ASJC Scopus subject areas

  • General Computer Science
  • Media Technology
  • Health Informatics

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