The digital biomarker discovery pipeline: An open-source software platform for the development of digital biomarkers using mHealth and wearables data.
Biomedical informatics
digital health
digital medicine
health information management
mHealth
open source
wearable sensors
Journal
Journal of clinical and translational science
ISSN: 2059-8661
Titre abrégé: J Clin Transl Sci
Pays: England
ID NLM: 101689953
Informations de publication
Date de publication:
14 Jul 2020
14 Jul 2020
Historique:
entrez:
5
5
2021
pubmed:
6
5
2021
medline:
6
5
2021
Statut:
epublish
Résumé
Digital health is rapidly expanding due to surging healthcare costs, deteriorating health outcomes, and the growing prevalence and accessibility of mobile health (mHealth) and wearable technology. Data from Biometric Monitoring Technologies (BioMeTs), including mHealth and wearables, can be transformed into In order to provide a collaborative, standardized space for digital biomarker research and validation, we present the first comprehensive, open-source software platform for end-to-end digital biomarker development: Here, we detail the general DBDP framework as well as three robust modules within the DBDP that have been developed for specific digital biomarker discovery use cases. The clear need for such a platform will accelerate the DBDP's adoption as the industry standard for digital biomarker development and will support its role as the epicenter of digital biomarker collaboration and exploration.
Identifiants
pubmed: 33948242
doi: 10.1017/cts.2020.511
pii: S2059866120005117
pmc: PMC8057397
doi:
Types de publication
Journal Article
Langues
eng
Pagination
e19Subventions
Organisme : NIBIB NIH HHS
ID : R24 EB025845
Pays : United States
Informations de copyright
© The Association for Clinical and Translational Science 2020.
Déclaration de conflit d'intérêts
The authors have no conflicts of interest to declare.
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