1. Feasibility of pediatric obesity and prediabetes treatment support through Tess, the AI behavioral coaching chatbot
2. F. H. Mckay , A. Wright , J. Shill , B. Hons , and M. Uccellini , " Using Health and Well-Being Apps for Behavior Change?: A Systematic Search and Rating of Apps Corresponding Author? :," vol. 7 , pp. 1 -- 11 , 2019 , doi: 10.2196/11926. F. H. Mckay, A. Wright, J. Shill, B. Hons, and M. Uccellini, "Using Health and Well-Being Apps for Behavior Change?: A Systematic Search and Rating of Apps Corresponding Author?:," vol. 7, pp. 1--11, 2019, doi: 10.2196/11926.
3. P. Parvin , "Real-time anomaly detection in elderly behavior," Proc . ACM SIGCHI Symp. Eng. Interact. Comput. Syst. EICS 2018 , Jun. 2018 , doi: 10.1145/3220134.3220145. P. Parvin, "Real-time anomaly detection in elderly behavior," Proc. ACM SIGCHI Symp. Eng. Interact. Comput. Syst. EICS 2018, Jun. 2018, doi: 10.1145/3220134.3220145.
4. A. Trifan , M. Oliveira , and J. L. Oliveira , " Passive sensing of health outcomes through smartphones: Systematic review of current solutions and possible limitations," JMIR mHealth uHealth , vol. 7 , no. 8, 2019, doi: 10.2196/12649. A. Trifan, M. Oliveira, and J. L. Oliveira, "Passive sensing of health outcomes through smartphones: Systematic review of current solutions and possible limitations," JMIR mHealth uHealth, vol. 7, no. 8, 2019, doi: 10.2196/12649.
5. Design and testing of a mobile health application rating tool," npj Digit;Levine D.;Med.,2020