Artificial intelligence decision-making in mobile health.


Journal

The biochemist
ISSN: 0954-982X
Titre abrégé: Biochem (Lond)
Pays: England
ID NLM: 101531779

Informations de publication

Date de publication:
Oct 2019
Historique:
entrez: 8 4 2021
pubmed: 1 10 2019
medline: 1 10 2019
Statut: ppublish

Résumé

It is likely that you or someone you know is affected by a chronic health condition. For example, a staggering six in 10 adults in the USA are currently suffering from a chronic disease (National Center for Chronic Disease Prevention and Health Promotion, 2019). Unfortunately, chronic conditions are not treatable overnight, but they can often be improved by regular incorporation of preventative behaviours (e.g., taking medication, healthy sleeping habits, being physically active, healthy eating, etc.). However, due to the many contingencies that arise in our lives, regular incorporation of healthy behaviours is difficult, and often when we need help in enacting these behaviours, support from clinical professionals is not available.

Identifiants

pubmed: 33828355
doi: 10.1042/bio04105020
pmc: PMC8023386
mid: NIHMS1055067
doi:

Types de publication

Journal Article

Langues

eng

Pagination

20-24

Subventions

Organisme : NIBIB NIH HHS
ID : U54 EB020404
Pays : United States
Organisme : NIDA NIH HHS
ID : P50 DA039838
Pays : United States
Organisme : NIAAA NIH HHS
ID : R01 AA023187
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL125440
Pays : United States
Organisme : NCI NIH HHS
ID : U01 CA229437
Pays : United States

Auteurs

Marianne Menictas (M)

Harvard University, the University of Michigan and the Kaiser Permanente Washington Health Research Institute, USA.

Mashfiqui Rabbi (M)

Harvard University, the University of Michigan and the Kaiser Permanente Washington Health Research Institute, USA.

Predrag Klasnja (P)

Harvard University, the University of Michigan and the Kaiser Permanente Washington Health Research Institute, USA.

Susan Murphy (S)

Harvard University, the University of Michigan and the Kaiser Permanente Washington Health Research Institute, USA.

Classifications MeSH