Prediction of stress and drug craving ninety minutes in the future with passively collected GPS data
Abstract Just-in-time adaptive interventions (JITAIs), typically smartphone apps, learn to deliver therapeutic content when users need it. The challenge is to “push” content at algorithmically chosen moments without making users trigger it with effortful input. We trained a randomForest algorithm to...
Enregistré dans:
Auteurs principaux: | David H. Epstein, Matthew Tyburski, William J. Kowalczyk, Albert J. Burgess-Hull, Karran A. Phillips, Brenda L. Curtis, Kenzie L. Preston |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2020
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/a813c79a2e594dbc8539be094313d3c1 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Wearable devices can predict the outcome of standardized 6-minute walk tests in heart disease
par: Charlotte Schubert, et autres
Publié: (2020) -
Sustained development in the nineties
Publié: (2014) -
Social policies in the nineties
par: Draibe, Sônia Miriam
Publié: (2014) -
Does addition of craving management tools in a stop smoking app improve quit rates among adult smokers? Results from BupaQuit pragmatic pilot randomised controlled trial
par: Aleksandra Herbec, et autres
Publié: (2021) -
Employment and productivity in Brazil in the nineties
par: Camargo, José Márcio, et autres
Publié: (2014)