AIMC Topic: Health Promotion
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Machine Learning in Health Promotion and Behavioral Change: Scoping Review.
Journal of medical Internet research
Jun 2, 2022
BACKGROUND: Despite health behavioral change interventions targeting modifiable lifestyle factors underlying chronic diseases, dropouts and nonadherence of individuals have remained high. The rapid development of machine learning (ML) in recent years...
Predicting exclusive breastfeeding in maternity wards using machine learning techniques.
Computer methods and programs in biomedicine
Apr 26, 2022
BACKGROUND AND OBJECTIVE: Adequate support in maternity wards is decisive for breastfeeding outcomes during the first year of life. Quality improvement interventions require the identification of the factors influencing hospital benchmark indicators....
Microplanning for designing vaccination campaigns in low-resource settings: A geospatial artificial intelligence-based framework.
Vaccine
Sep 15, 2021
Existing campaign-based healthcare delivery programs used for immunization often fall short of established health coverage targets due to a lack of accurate estimates for population size and location. A microplan, an integrated set of detailed planni...
Health improvement framework for actionable treatment planning using a surrogate Bayesian model.
Nature communications
May 25, 2021
Clinical decision-making regarding treatments based on personal characteristics leads to effective health improvements. Machine learning (ML) has been the primary concern of diagnosis support according to comprehensive patient information. A prominen...
Analyzing Description, User Understanding and Expectations of AI in Mobile Health Applications.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 25, 2021
Previous research has studied medical professionals' perception of artificial intelligence (AI). However, there has been a limited understanding of how healthcare consumers perceive and use AI-powered technologies such as mobile health apps. We colle...
A Physical Activity and Diet Program Delivered by Artificially Intelligent Virtual Health Coach: Proof-of-Concept Study.
JMIR mHealth and uHealth
Jul 10, 2020
BACKGROUND: Poor diet and physical inactivity are leading modifiable causes of death and disease. Advances in artificial intelligence technology present tantalizing opportunities for creating virtual health coaches capable of providing personalized s...
Incorporating machine learning and social determinants of health indicators into prospective risk adjustment for health plan payments.
BMC public health
May 1, 2020
BACKGROUND: Risk adjustment models are employed to prevent adverse selection, anticipate budgetary reserve needs, and offer care management services to high-risk individuals. We aimed to address two unknowns about risk adjustment: whether machine lea...
A Framework for Applying Natural Language Processing in Digital Health Interventions.
Journal of medical Internet research
Feb 19, 2020
BACKGROUND: Digital health interventions (DHIs) are poised to reduce target symptoms in a scalable, affordable, and empirically supported way. DHIs that involve coaching or clinical support often collect text data from 2 sources: (1) open corresponde...
Building the case for actionable ethics in digital health research supported by artificial intelligence.
BMC medicine
Jul 17, 2019
The digital revolution is disrupting the ways in which health research is conducted, and subsequently, changing healthcare. Direct-to-consumer wellness products and mobile apps, pervasive sensor technologies and access to social network data offer ex...
Identifying Key Target Audiences for Public Health Campaigns: Leveraging Machine Learning in the Case of Hookah Tobacco Smoking.
Journal of medical Internet research
Jul 8, 2019
BACKGROUND: Hookah tobacco smoking (HTS) is a particularly important issue for public health professionals to address owing to its prevalence and deleterious health effects. Social media sites can be a valuable tool for public health officials to con...
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