| Literature DB >> 31438061 |
Ali Daowd1, Syed Faizan1, Samina Abidi2, Ashraf Abusharekh1, Aaqib Shehzad1, Syed Sibte Raza Abidi1.
Abstract
Chronic diseases are the leading cause of morbidity, disability and mortality worldwide. It is well established that the majority of chronic diseases can be prevented by targeting modifiable lifestyle-related risk factors. Thus, early risk assessment and mitigation at the individual level can significantly reduce the health and economic burden of chronic diseases. Lifetime health has emerged as a potential paradigm to assist individuals to avoid harmful lifestyle-related habits to reduce the risk of chronic morbidity. In this paper, we leverage eHealth and Quantified Self technologies, novel health data visualizations, and artificial intelligence methods to develop a digital-based lifetime health platform (PRISM) to empower individuals to self-assess, self-monitor, and self-manage their risks for multiple chronic diseases and associated morbidities.Entities:
Keywords: Chronic Disease; Precision Medicine; Risk Assessment
Mesh:
Year: 2019 PMID: 31438061 DOI: 10.3233/SHTI190361
Source DB: PubMed Journal: Stud Health Technol Inform ISSN: 0926-9630