Building new computational models to support health behavior change and maintenance: new opportunities in behavioral research.
about
Agile science: creating useful products for behavior change in the real worldTaking dietary habits into account: A computational method for modeling food choices that goes beyond priceInnovations in the Use of Interactive Technology to Support Weight Management.Building health behavior models to guide the development of just-in-time adaptive interventions: A pragmatic framework.Behavioral Informatics and Computational Modeling in Support of Proactive Health Management and Care.Perspective: Randomized Controlled Trials Are Not a Panacea for Diet-Related ResearchDevelopment of a dynamic computational model of social cognitive theory.A computational cognitive model of self-efficacy and daily adherence in mHealthTargeting Reductions in Sitting Time to Increase Physical Activity and Improve Health.Health Behavior Models for Informing Digital Technology Interventions for Individuals With Mental Illness.Should the IDEFICS outcomes have been expected?Applying and advancing behavior change theories and techniques in the context of a digital health revolution: proposals for more effectively realizing untapped potential.Advancing Models and Theories for Digital Behavior Change Interventions.Could technology help us tackle the obesity crisis?The conceptualization of a Just-In-Time Adaptive Intervention (JITAI) for the reduction of sedentary behavior in older adults.Coordination of Self- and Parental-Regulation Surrounding Type I Diabetes Management in Late Adolescence.Real-time sun protection decisions in first-degree relatives of melanoma patients.Implementation Intention and Reminder Effects on Behavior Change in a Mobile Health System: A Predictive Cognitive Model.Reduction of energy intake using just-in-time feedback from a wearable sensor system.Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior Support.Adaptive step goals and rewards: a longitudinal growth model of daily steps for a smartphone-based walking intervention.Personalised digital interventions for reducing hazardous and harmful alcohol consumption in community-dwelling populations.Innovation or Violation? Leveraging Mobile Technology to Conduct Socially Responsible Community Research.Using the Intervention Mapping and Behavioral Intervention Technology Frameworks: Development of an mHealth Intervention for Physical Activity and Sedentary Behavior Change.High-resolution Temporal Representations of Alcohol and Tobacco Behaviors from Social Media Data.Detecting Recovery Problems Just in Time: Application of Automated Linguistic Analysis and Supervised Machine Learning to an Online Substance Abuse Forum.
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P2860
Building new computational models to support health behavior change and maintenance: new opportunities in behavioral research.
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
@zh
2015年论文
@zh-cn
name
Building new computational mod ...... nities in behavioral research.
@ast
Building new computational mod ...... nities in behavioral research.
@en
type
label
Building new computational mod ...... nities in behavioral research.
@ast
Building new computational mod ...... nities in behavioral research.
@en
prefLabel
Building new computational mod ...... nities in behavioral research.
@ast
Building new computational mod ...... nities in behavioral research.
@en
P2093
P2860
P50
P1476
Building new computational mod ...... nities in behavioral research.
@en
P2093
Alberto Sanna
Eric Hekler
Misha Pavel
Rita Kukakfa
Stephen Intille
Vicente Traver Salcedo
Wendy Nilsen
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P2888
P304
P356
10.1007/S13142-015-0324-1
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P577
2015-09-01T00:00:00Z