Artificial intelligence decision-making in mobile health
Year: 2019
Type: article
Abstract: 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.
Source: The Biochemist
DOI: 10.1042/bio04105020
Language: English
Subfield: General Health Professions
Field: Health Professions
Domain: Health Sciences
Open Access status: diamond
Awards: Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K) - OVERALL, Center for Complex Data to Knowledge in Drug Abuse and HIV Behavioral Science, Novel use of mHealth data to identify states of vulnerability and receptivity to JITAIs, Data-Based Methods for Just-In-Time Adaptive interventions in Alcohol Use, ADAPT: Enabling robust adaptation in mHealth interventions for supporting maintenance of heart-healthy behaviors
OpenAlex ID: W2980607852