Precision medicine

MR Kosorok, EB Laber - Annual review of statistics and its …, 2019 - annualreviews.org
Precision medicine seeks to maximize the quality of health care by individualizing the health-
care process to the uniquely evolving health status of each patient. This endeavor spans a …

Personalized heartsteps: A reinforcement learning algorithm for optimizing physical activity

P Liao, K Greenewald, P Klasnja… - Proceedings of the ACM on …, 2020 - dl.acm.org
With the recent proliferation of mobile health technologies, health scientists are increasingly
interested in developing just-in-time adaptive interventions (JITAIs), typically delivered via …

Inspection-while-flying: An autonomous contact-based nondestructive test using UAV-tools

BB Kocer, T Tjahjowidodo, M Pratama… - Automation in …, 2019 - Elsevier
Today's modern cities depend on basic services such as water and sewer systems including
tunnels, which are supported by a pervasive infrastructure. The structural condition of these …

Understanding behavioral dynamics of social anxiety among college students through smartphone sensors

J Gong, Y Huang, PI Chow, K Fua, MS Gerber… - Information …, 2019 - Elsevier
The way people use smartphones provides a window into the relationship between
behaviors and mental health. This relationship is of particular significance to individuals with …

Personalized models of physical activity responses to text message micro-interventions: a proof-of-concept application of control systems engineering methods

DE Conroy, S Hojjatinia, CM Lagoa, CH Yang… - Psychology of sport and …, 2019 - Elsevier
Objectives The conceptual models underlying physical activity interventions have been
based largely on differences between more and less active people. Yet physical activity is a …

[HTML][HTML] Dealing with observational data in control

ED Wilson, Q Clairon, R Henderson, CJ Taylor - Annual Reviews in Control, 2018 - Elsevier
There is growing interest in the use of control theory for interdisciplinary applications, where
data may be sparse or missing, be non-uniformly sampled, have greater uncertainty, and …

Development of a control-oriented model of social cognitive theory for optimized mHealth behavioral interventions

CA Martin, DE Rivera, EB Hekler… - … on Control Systems …, 2018 - ieeexplore.ieee.org
Mobile health technologies are contributing to the increasing relevance of control
engineering principles in understanding and improving health behaviors, such as physical …

Intensively adaptive interventions using control systems engineering: Two illustrative examples

DE Rivera, EB Hekler, JS Savage… - Optimization of behavioral …, 2018 - Springer
Control systems engineering is a diverse field that examines how system variables can be
adjusted over time to improve targeted outcomes. In recent years, control engineering …

Evaluating the effect of smoking cessation treatment on a complex dynamical system

K Bekiroglu, MA Russell, CM Lagoa, ST Lanza… - Drug and alcohol …, 2017 - Elsevier
Objective To understand the dynamic relations among tobacco withdrawal symptoms to
inform the development of effective smoking cessation treatments. Dynamical system …

Nonlinear predictive uav-elastic tool interaction control in real-time

BB Kocer, GSG Lee… - 2018 IEEE/ASME …, 2018 - ieeexplore.ieee.org
This paper addresses the control problem of an unmanned aerial vehicle (UAV) endowed
with a tool to physically contact with the environment. Deploying an arm attached on UAV to …