A personalized risk stratification platform for population lifetime healthcare

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

Producción científica: Capítulo en Libro/Reporte/Acta de conferenciaContribución a la conferencia

4 Citas (Scopus)

Resumen

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.

Idioma originalEnglish
Título de la publicación alojadaBuilding Continents of Knowledge in Oceans of Data
Subtítulo de la publicación alojadaThe Future of Co-Created eHealth - Proceedings of MIE 2018
EditoresAdrien Ugon, Daniel Karlsson, Gunnar O. Klein, Anne Moen
EditorialIOS Press BV
Páginas920-924
Número de páginas5
ISBN (versión digital)9781614998518
DOI
EstadoPublished - 2018
Evento40th Medical Informatics in Europe Conference, MIE 2018 - Gothenburg, Sweden
Duración: abr. 24 2018abr. 26 2018

Serie de la publicación

NombreStudies in Health Technology and Informatics
Volumen247
ISSN (versión impresa)0926-9630
ISSN (versión digital)1879-8365

Conference

Conference40th Medical Informatics in Europe Conference, MIE 2018
País/TerritorioSweden
CiudadGothenburg
Período4/24/184/26/18

Nota bibliográfica

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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