A personalized risk stratification platform for population lifetime healthcare

Ali Daowd, Samina Raza Abidi, Ashraf Abusharekh, Syed Sibte Raza ABIDI

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

4 Citations (Scopus)

Abstract

Chronic diseases are the leading cause of death worldwide. It is well understood that if modifiable risk factors are targeted, most chronic diseases can be prevented. Lifetime health is an emerging health paradigm that aims to assist individuals to achieve desired health targets, and avoid harmful lifecycle choices to mitigate the risk of chronic diseases. Early risk identification is central to lifetime health. In this paper, we present a digital health-based platform (PRISM) that leverages artificial intelligence, data visualization and mobile health technologies to empower citizens to self-assess, self-monitor and self-manage their overall risk of major chronic diseases and pursue personalized chronic disease prevention programs. PRISM offers risk assessment tools for 5 chronic conditions, 2 psychiatric disorders and 8 different cancers.

Original languageEnglish
Title of host publicationBuilding Continents of Knowledge in Oceans of Data
Subtitle of host publicationThe Future of Co-Created eHealth - Proceedings of MIE 2018
EditorsAdrien Ugon, Daniel Karlsson, Gunnar O. Klein, Anne Moen
PublisherIOS Press BV
Pages920-924
Number of pages5
ISBN (Electronic)9781614998518
DOIs
Publication statusPublished - 2018
Event40th Medical Informatics in Europe Conference, MIE 2018 - Gothenburg, Sweden
Duration: Apr 24 2018Apr 26 2018

Publication series

NameStudies in Health Technology and Informatics
Volume247
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference40th Medical Informatics in Europe Conference, MIE 2018
Country/TerritorySweden
CityGothenburg
Period4/24/184/26/18

Bibliographical note

Publisher Copyright:
© 2018 European Federation for Medical Informatics (EFMI) and IOS Press.

ASJC Scopus Subject Areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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