DocumentCode :
84184
Title :
Systems Modeling of Behavior Change: Two Illustrations from Optimized Interventions for Improved Health Outcomes
Author :
Rivera, Daniel E. ; Jimison, Holly B.
Author_Institution :
Sch. for Eng. of Matter, Transp. & Energy, Arizona State Univ., Tempe, AZ, USA
Volume :
4
Issue :
6
fYear :
2013
fDate :
Nov. 2013
Firstpage :
41
Lastpage :
47
Abstract :
Here, we illustrate how systems and computational modeling approaches can impact behavior change and optimize interventions for health involving behavioral outcomes with two examples. The first, in “Using Sensor Data and Model Inference to Tailor Home Health Interventions for the Elderly,” is an example of integrating health behavior change variables with computational inference about behaviors and health states for tailoring interventions. The second, “Dynamical Systems Modeling of a Gestational Weight Gain Intervention,” demonstrates how behavioral theories from psychology come into play in developing a comprehensive dynamical model for an intervention to manage gestational weight gain.
Keywords :
behavioural sciences computing; geriatrics; medical computing; patient care; patient treatment; physiological models; psychology; behavior change systems modeling; behavioral intervention settings; computational inference; computational modeling approaches; dynamical systems modeling; gestational weight gain intervention; health states; improved health outcomes; model inference; optimal decision making; optimized interventions; psychological theories; sensor data; systems science techniques; tailored elderly home health interventions; Behavioral science; Biomedical monitoring; Medical services; Systems engineering and theory; Biomedical Engineering; Computer Simulation; Delivery of Health Care; Health Behavior; Humans; Models, Theoretical; Monitoring, Ambulatory;
fLanguage :
English
Journal_Title :
Pulse, IEEE
Publisher :
ieee
ISSN :
2154-2287
Type :
jour
DOI :
10.1109/MPUL.2013.2279621
Filename :
6656980
Link To Document :
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