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Tell me your apps and I will tell you your mood: correlation of apps usage with bipolar disorder state., , , , , , и . PETRA, стр. 19:1-19:7. ACM, (2014)Benefits of Using Activity Recommender Technology for Self-management of Depressive Symptoms., , , и . ACM Trans. Comput. Heal., 2 (4): 31:1-31:21 (2021)Impact factor analysis: combining prediction with parameter ranking to reveal the impact of behavior on health outcome., , , , и . Personal and Ubiquitous Computing, 19 (2): 355-365 (2015)Personalizing Mental Health: A Feasibility Study of a Mobile Behavioral Activation Tool for Depressed Patients., , , , , и . PervasiveHealth, стр. 282-291. ACM, (2019)Supporting smartphone-based behavioral activation: a simulation study., , , , и . UbiComp/ISWC Adjunct, стр. 830-843. ACM, (2017)Personalized versus Generic Mood Prediction Models in Bipolar Disorder., , , , , и . UbiComp/ISWC Adjunct, стр. 1700-1707. ACM, (2018)Designing context-aware cognitive behavioral therapy for unipolar and bipolar disorders., , , , и . UbiComp Adjunct, стр. 1162-1170. ACM, (2016)Designing mobile health technology for bipolar disorder: a field trial of the monarca system., , , , , и . CHI, стр. 2627-2636. ACM, (2013)Supporting disease insight through data analysis: refinements of the monarca self-assessment system., , , , и . UbiComp, стр. 133-142. ACM, (2013)MUBS: A Personalized Recommender System for Behavioral Activation in Mental Health., , , , , и . CHI, стр. 1-13. ACM, (2020)