Encouraging physical activity in patients with diabetes through automatic personalized feedback via reinforcement learning improves glycemic control

Diabetes Care

Volumn 39, Issue 4, 2016, Pages e59-e60

  Hochberg, Irit ^a   Feraru, Guy ^b   Kozdoba, Mark ^b   Mannor, Shie ^b   Tennenholtz, Moshe ^b   Yom Tov, Elad ^c  

^a Rambam Health Care Campus ^*  (Israel)

^b TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

^c MICROSOFT RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

HEMOGLOBIN A1C;

ALGORITHM; GLYCEMIC CONTROL; HUMAN; LETTER; MOBILE APPLICATION; NEGATIVE FEEDBACK; NON INSULIN DEPENDENT DIABETES MELLITUS; PERSONALIZED MEDICINE; PHYSICAL ACTIVITY; POSITIVE FEEDBACK; REINFORCEMENT; SMARTPHONE; TEXT MESSAGING;

EID: 84962053103     PISSN: 01495992     EISSN: 19355548     Source Type: Journal    
DOI: 10.2337/dc15-2340     Document Type: Letter

References (3)

1. Pronk NP, Remington PL; Community Preventive Services Task Force. Combined diet and physical activity promotion programs for prevention of diabetes: Community Preventive Services Task Force recommendation statement. Ann Intern Med 2015;163:465-468
2. de Jongh T, Gurol-Urganci I, Vodopivec-Jamsek V, Car J, Atun R. Mobile phone messaging for facilitating self-management of long-term illnesses. Cochrane Database Syst Rev 2012;12:CD007459
3. Gatti C. Reinforcement learning. In Design of Experiments for Reinforcement Learning. New York, Springer, 2014, p. 7-52