AIMC Topic: Health Behavior
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Artificial Intelligence and Behavioral Science Through the Looking Glass: Challenges for Real-World Application.
Annals of behavioral medicine : a publication of the Society of Behavioral Medicine
Dec 1, 2020
BACKGROUND: Artificial Intelligence (AI) is transforming the process of scientific research. AI, coupled with availability of large datasets and increasing computational power, is accelerating progress in areas such as genetics, climate change and as...
A Machine-Learning Approach to Predicting Smoking Cessation Treatment Outcomes.
Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco
Mar 16, 2020
AIMS: Most cigarette smokers want to quit smoking and more than half make an attempt every year, but less than 10% remain abstinent for at least 6 months. Evidence-based tobacco use treatment improves the likelihood of quitting, but more than two-thi...
Artificial Intelligence in Health Care: Will the Value Match the Hype?
JAMA
Jun 18, 2019
An expandable approach for design and personalization of digital, just-in-time adaptive interventions.
Journal of the American Medical Informatics Association : JAMIA
Mar 1, 2019
OBJECTIVE: We aim to deliver a framework with 2 main objectives: 1) facilitating the design of theory-driven, adaptive, digital interventions addressing chronic illnesses or health problems and 2) producing personalized intervention delivery strategi...
Unhealthy Behaviors, Prevention Measures, and Neighborhood Cardiovascular Health: A Machine Learning Approach.
Journal of public health management and practice : JPHMP
Jan 1, 2019
This study identifies and ranks predictors of cardiovascular health at the neighborhood level in the United States. We merged the 500 Cities Data and the 2011-2015 American Community Survey to create a new data set that includes sociodemographic char...
Connectionism and Behavioral Clusters: Differential Patterns in Predicting Expectations to Engage in Health Behaviors.
Annals of behavioral medicine : a publication of the Society of Behavioral Medicine
Sep 13, 2018
BACKGROUND: The traditional approach to health behavior research uses a single model to explain one behavior at a time. However, health behaviors are interrelated and different factors predict certain behaviors better than others.
Applying Deep Learning to Understand Predictors of Tooth Mobility Among Urban Latinos.
Studies in health technology and informatics
Jan 1, 2018
We applied deep learning algorithms to build correlate models that predict tooth mobility in a convenience sample of urban Latinos. Our application of deep learning identified age, general health, soda consumption, flossing, financial stress, and yea...
Identifying Specific Combinations of Multimorbidity that Contribute to Health Care Resource Utilization: An Analytic Approach.
Medical care
Mar 1, 2017
BACKGROUND: Multimorbidity affects the majority of elderly adults and is associated with higher health costs and utilization, but how specific patterns of morbidity influence resource use is less understood.
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