MHealth app using machine learning to increase physical activity in diabetes and depression: Clinical trial protocol for the DIAMANTE Study

10.1136/bmjopen-2019-034723

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Main Authors: Aguilera, A., Figueroa, C.A., Hernandez-Ramos, R., Sarkar, U., Cemballi, A., Gomez-Pathak, L., Miramontes, J., Yom-Tov, E., Chakraborty, B., Yan, X., Xu, J., Modiri, A., Aggarwal, J., Jay Williams, J., Lyles, C.R.
Other Authors: DUKE-NUS MEDICAL SCHOOL
Format: Article
Published: BMJ Publishing Group 2021
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Online Access:https://scholarbank.nus.edu.sg/handle/10635/197594
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-1975942023-09-20T08:59:07Z MHealth app using machine learning to increase physical activity in diabetes and depression: Clinical trial protocol for the DIAMANTE Study Aguilera, A. Figueroa, C.A. Hernandez-Ramos, R. Sarkar, U. Cemballi, A. Gomez-Pathak, L. Miramontes, J. Yom-Tov, E. Chakraborty, B. Yan, X. Xu, J. Modiri, A. Aggarwal, J. Jay Williams, J. Lyles, C.R. DUKE-NUS MEDICAL SCHOOL Depression & mood disorders Diabetes & endocrinology Health informatics Telemedicine 10.1136/bmjopen-2019-034723 BMJ Open 10 8 e034723 2021-08-18T03:33:52Z 2021-08-18T03:33:52Z 2020 Article Aguilera, A., Figueroa, C.A., Hernandez-Ramos, R., Sarkar, U., Cemballi, A., Gomez-Pathak, L., Miramontes, J., Yom-Tov, E., Chakraborty, B., Yan, X., Xu, J., Modiri, A., Aggarwal, J., Jay Williams, J., Lyles, C.R. (2020). MHealth app using machine learning to increase physical activity in diabetes and depression: Clinical trial protocol for the DIAMANTE Study. BMJ Open 10 (8) : e034723. ScholarBank@NUS Repository. https://doi.org/10.1136/bmjopen-2019-034723 20446055 https://scholarbank.nus.edu.sg/handle/10635/197594 Attribution-NonCommercial 4.0 International http://creativecommons.org/licenses/by-nc/4.0/ BMJ Publishing Group Scopus OA2020
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic Depression & mood disorders
Diabetes & endocrinology
Health informatics
Telemedicine
spellingShingle Depression & mood disorders
Diabetes & endocrinology
Health informatics
Telemedicine
Aguilera, A.
Figueroa, C.A.
Hernandez-Ramos, R.
Sarkar, U.
Cemballi, A.
Gomez-Pathak, L.
Miramontes, J.
Yom-Tov, E.
Chakraborty, B.
Yan, X.
Xu, J.
Modiri, A.
Aggarwal, J.
Jay Williams, J.
Lyles, C.R.
MHealth app using machine learning to increase physical activity in diabetes and depression: Clinical trial protocol for the DIAMANTE Study
description 10.1136/bmjopen-2019-034723
author2 DUKE-NUS MEDICAL SCHOOL
author_facet DUKE-NUS MEDICAL SCHOOL
Aguilera, A.
Figueroa, C.A.
Hernandez-Ramos, R.
Sarkar, U.
Cemballi, A.
Gomez-Pathak, L.
Miramontes, J.
Yom-Tov, E.
Chakraborty, B.
Yan, X.
Xu, J.
Modiri, A.
Aggarwal, J.
Jay Williams, J.
Lyles, C.R.
format Article
author Aguilera, A.
Figueroa, C.A.
Hernandez-Ramos, R.
Sarkar, U.
Cemballi, A.
Gomez-Pathak, L.
Miramontes, J.
Yom-Tov, E.
Chakraborty, B.
Yan, X.
Xu, J.
Modiri, A.
Aggarwal, J.
Jay Williams, J.
Lyles, C.R.
author_sort Aguilera, A.
title MHealth app using machine learning to increase physical activity in diabetes and depression: Clinical trial protocol for the DIAMANTE Study
title_short MHealth app using machine learning to increase physical activity in diabetes and depression: Clinical trial protocol for the DIAMANTE Study
title_full MHealth app using machine learning to increase physical activity in diabetes and depression: Clinical trial protocol for the DIAMANTE Study
title_fullStr MHealth app using machine learning to increase physical activity in diabetes and depression: Clinical trial protocol for the DIAMANTE Study
title_full_unstemmed MHealth app using machine learning to increase physical activity in diabetes and depression: Clinical trial protocol for the DIAMANTE Study
title_sort mhealth app using machine learning to increase physical activity in diabetes and depression: clinical trial protocol for the diamante study
publisher BMJ Publishing Group
publishDate 2021
url https://scholarbank.nus.edu.sg/handle/10635/197594
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