A smartphone app framework for segmented cancer care coordination

Tiancheng He, Richard Ogunti, Mamta Puppala, Shenyi Chen, Xiaohui Yu, James J. Mancuso, Stephen T. Wong

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

6 Scopus citations

Abstract

Complex cancer care requires careful coordination, but resource limitations result in lack of effective coordinated follow-up services. Recent advances in smartphones offer great opportunities for better segmentation of patient populations for cost-effective, targeted care coordination and monitoring or surveillance of cancer patients. This paper presents a framework of a smartphone app that provides such risk assessment and follow-up care monitoring services. This mHealth app framework includes three functional modules: a natural language processing module based on Bayesian model to extract relevant information from free text or medical reports; a cancer risk calculator that uses support vector machine classification to assess the medical risks of cancer patients based on the information extracted; and a health care monitor that provides timely care coordination to high risk cancer patients. The experimental results validate mHealth as a reliable medical risk assessment for post-surgical cancer patients and an effective health care monitoring service for cancer care coordination.

Original languageEnglish (US)
Title of host publication3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages372-375
Number of pages4
ISBN (Print)9781509024551
DOIs
StatePublished - Apr 18 2016
Event3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016 - Las Vegas, United States
Duration: Feb 24 2016Feb 27 2016

Other

Other3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016
CountryUnited States
CityLas Vegas
Period2/24/162/27/16

ASJC Scopus subject areas

  • Health Informatics
  • Health Information Management

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