Cargando…
Metadata Framework to Support Deployment of Digital Health Technologies in Clinical Trials in Parkinson’s Disease
Sensor data from digital health technologies (DHTs) used in clinical trials provides a valuable source of information, because of the possibility to combine datasets from different studies, to combine it with other data types, and to reuse it multiple times for various purposes. To date, there exist...
Autores principales: | Hill, Derek L., Stephenson, Diane, Brayanov, Jordan, Claes, Kasper, Badawy, Reham, Sardar, Sakshi, Fisher, Katherine, Lee, Susan J., Bannon, Anthony, Roussos, George, Kangarloo, Tairmae, Terebaite, Viktorija, Müller, Martijn L. T. M., Bhatnagar, Roopal, Adams, Jamie L., Dorsey, E. Ray, Cosman, Josh |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8954603/ https://www.ncbi.nlm.nih.gov/pubmed/35336307 http://dx.doi.org/10.3390/s22062136 |
Ejemplares similares
-
Identifying and characterising sources of variability in digital outcome measures in Parkinson’s disease
por: Roussos, George, et al.
Publicado: (2022) -
How can natural language processing help model informed drug development?: a review
por: Bhatnagar, Roopal, et al.
Publicado: (2022) -
Deploying the ATLAS Metadata Interface (AMI) on the cloud with Jenkins
por: Lambert, Fabian, et al.
Publicado: (2016) -
Deploying the ATLAS Metadata Interface (AMI) on the cloud with Jenkins.
por: Lambert, Fabian, et al.
Publicado: (2016) -
Deploying and administrating the ATLAS Metadata Interface (AMI) 2.0 ecosystem
por: Odier, Jerome, et al.
Publicado: (2020)