Full metadata
The term adaptive intervention is used in behavioral health to describe individually tailored strategies for preventing and treating chronic, relapsing disorders. This paper describes a system identification approach for developing dynamical models from clinical data, and subsequently, a hybrid model predictive control scheme for assigning dosages of naltrexone as treatment for fibromyalgia, a chronic pain condition. A simulation study that includes conditions of significant plant-model mismatch demonstrates the benefits of hybrid predictive control as a decision framework for optimized adaptive interventions. This work provides insights on the design of novel personalized interventions for chronic pain and related conditions in behavioral health.
- Deshpande, Sunil (Author)
- Nandola, Naresh (Author)
- Rivera, Daniel (Author)
- Younger, Jarred W. (Author)
- Control Systems Engineering Laboratory (Contributor)
Deshpande, Sunil, Nandola, Naresh N., Rivera, Daniel E., & Younger, Jarred W. (2014). Optimized treatment of fibromyalgia using system identification and hybrid model predictive control. CONTROL ENGINEERING PRACTICE, 33, 161-173. http://dx.doi.org/10.1016/j.conengprac.2014.09.011
- 2015-02-16 12:06:06
- 2021-12-07 06:06:18
- 2 years 5 months ago