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2. Machine learning and ontology in eCoaching for personalized activity level monitoring and recommendation generation. Chatterjee A; Pahari N; Prinz A; Riegler M Sci Rep; 2022 Nov; 12(1):19825. PubMed ID: 36400793 [TBL] [Abstract][Full Text] [Related]
3. The effect of digital physical activity interventions on daily step count: a randomised controlled crossover substudy of the MyHeart Counts Cardiovascular Health Study. Shcherbina A; Hershman SG; Lazzeroni L; King AC; O'Sullivan JW; Hekler E; Moayedi Y; Pavlovic A; Waggott D; Sharma A; Yeung A; Christle JW; Wheeler MT; McConnell MV; Harrington RA; Ashley EA Lancet Digit Health; 2019 Nov; 1(7):e344-e352. PubMed ID: 33323209 [TBL] [Abstract][Full Text] [Related]
4. Effect of Adding Telephone-Based Brief Coaching to an mHealth App (Stay Strong) for Promoting Physical Activity Among Veterans: Randomized Controlled Trial. Damschroder LJ; Buis LR; McCant FA; Kim HM; Evans R; Oddone EZ; Bastian LA; Hooks G; Kadri R; White-Clark C; Richardson CR; Gierisch JM J Med Internet Res; 2020 Aug; 22(8):e19216. PubMed ID: 32687474 [TBL] [Abstract][Full Text] [Related]
5. The Association Between Web-Based or Face-to-Face Lifestyle Interventions on the Perceived Benefits and Barriers to Exercise in Midlife Women: Three-Arm Equivalency Study. McGuire AM; Seib C; Porter-Steele J; Anderson DJ J Med Internet Res; 2019 Aug; 21(8):e10963. PubMed ID: 31436162 [TBL] [Abstract][Full Text] [Related]
6. A Personalized Physical Activity Coaching App for Breast Cancer Survivors: Design Process and Early Prototype Testing. Monteiro-Guerra F; Signorelli GR; Tadas S; Dorronzoro Zubiete E; Rivera Romero O; Fernandez-Luque L; Caulfield B JMIR Mhealth Uhealth; 2020 Jul; 8(7):e17552. PubMed ID: 32673271 [TBL] [Abstract][Full Text] [Related]
7. A Machine Learning Approach for Prediction of Sedentary Behavior Based on Daily Step Counts. Papathomas E; Triantafyllidis A; Mastoras RE; Giakoumis D; Votis K; Tzovaras D Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():390-394. PubMed ID: 34891316 [TBL] [Abstract][Full Text] [Related]
8. Multi Agent Architecture for Automated Health Coaching. Vemuri A; Decker K; Saponaro M; Dominick G J Med Syst; 2021 Sep; 45(11):95. PubMed ID: 34562163 [TBL] [Abstract][Full Text] [Related]
9. Expert Coaching in Weight Loss: Retrospective Analysis. Painter SL; Ahmed R; Kushner RF; Hill JO; Lindquist R; Brunning S; Margulies A J Med Internet Res; 2018 Mar; 20(3):e92. PubMed ID: 29535082 [TBL] [Abstract][Full Text] [Related]
10. Sustainability of Hiking in Combination with Coaching in Cardiorespiratory Fitness and Quality of Life. Huber D; Mayr M; Hartl A; Sittenthaler S; Traut-Mattausch E; Weisböck-Erdheim R; Freidl J Int J Environ Res Public Health; 2022 Mar; 19(7):. PubMed ID: 35409532 [TBL] [Abstract][Full Text] [Related]
11. Evaluating Machine Learning-Based Automated Personalized Daily Step Goals Delivered Through a Mobile Phone App: Randomized Controlled Trial. Zhou M; Fukuoka Y; Mintz Y; Goldberg K; Kaminsky P; Flowers E; Aswani A JMIR Mhealth Uhealth; 2018 Jan; 6(1):e28. PubMed ID: 29371177 [TBL] [Abstract][Full Text] [Related]
12. Year-round effects of a four-week randomized controlled trial using different types of feedback on employees' physical activity. Van Hoye K; Wijtzes AI; Lefevre J; De Baere S; Boen F BMC Public Health; 2018 Apr; 18(1):492. PubMed ID: 29649997 [TBL] [Abstract][Full Text] [Related]
13. Feasibility of a dynamic web guidance approach for personalized physical activity prescription based on daily information from wearable technology. Coolbaugh CL; Raymond SC; Hawkins DA JMIR Res Protoc; 2015 Jun; 4(2):e67. PubMed ID: 26043793 [TBL] [Abstract][Full Text] [Related]
14. Encouraging Physical Activity in Patients With Diabetes: Intervention Using a Reinforcement Learning System. Yom-Tov E; Feraru G; Kozdoba M; Mannor S; Tennenholtz M; Hochberg I J Med Internet Res; 2017 Oct; 19(10):e338. PubMed ID: 29017988 [TBL] [Abstract][Full Text] [Related]
15. Cross-validation and out-of-sample testing of physical activity intensity predictions with a wrist-worn accelerometer. Montoye AHK; Westgate BS; Fonley MR; Pfeiffer KA J Appl Physiol (1985); 2018 May; 124(5):1284-1293. PubMed ID: 29369742 [TBL] [Abstract][Full Text] [Related]
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17. Breast Cancer Survivors' Perspectives on Motivational and Personalization Strategies in Mobile App-Based Physical Activity Coaching Interventions: Qualitative Study. Monteiro-Guerra F; Signorelli GR; Rivera-Romero O; Dorronzoro-Zubiete E; Caulfield B JMIR Mhealth Uhealth; 2020 Sep; 8(9):e18867. PubMed ID: 32955446 [TBL] [Abstract][Full Text] [Related]
18. A Game-Based, Physical Activity Coaching Application for Older Adults: Design Approach and User Experience in Daily Life. Tabak M; de Vette F; van Dijk H; Vollenbroek-Hutten M Games Health J; 2020 Jun; 9(3):215-226. PubMed ID: 32053023 [No Abstract] [Full Text] [Related]
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20. Accuracy of consumer-based activity trackers as measuring tool and coaching device in patients with COPD and healthy controls. Blondeel A; Demeyer H; Janssens W; Troosters T PLoS One; 2020; 15(8):e0236676. PubMed ID: 32750073 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]