| Literature DB >> 32130138 |
Abstract
This viewpoint describes the urgent need for more large-scale, deep digital phenotyping to advance toward precision health. It describes why and how to combine real-world digital data with clinical data and omics features to identify someone's digital twin, and how to finally enter the era of patient-centered care and modify the way we view disease management and prevention. ©Guy Fagherazzi. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 03.03.2020.Entities:
Keywords: big data; data lake; deep digital phenotyping; digital cohort; digital epidemiology; digital health; digital orthodoxy; digital phenotyping; digitosome; omics; personalized medicine; precision health; precision medicine; precision prevention
Year: 2020 PMID: 32130138 DOI: 10.2196/16770
Source DB: PubMed Journal: J Med Internet Res ISSN: 1438-8871 Impact factor: 5.428