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Impact factor analysis: combining prediction with parameter ranking to reveal the impact of behavior on health outcome., , , , and . Personal and Ubiquitous Computing, 19 (2): 355-365 (2015)Personalizing Mental Health: A Feasibility Study of a Mobile Behavioral Activation Tool for Depressed Patients., , , , , and . PervasiveHealth, page 282-291. ACM, (2019)Association of hormonal contraception with depression, , , and . JAMA psychiatry, 73 (11): 1154--1162 (2016)Supporting disease insight through data analysis: refinements of the monarca self-assessment system., , , , and . UbiComp, page 133-142. ACM, (2013)MUBS: A Personalized Recommender System for Behavioral Activation in Mental Health., , , , , and . CHI, page 1-13. ACM, (2020)Tell me your apps and I will tell you your mood: correlation of apps usage with bipolar disorder state., , , , , , and . PETRA, page 19:1-19:7. ACM, (2014)Benefits of Using Activity Recommender Technology for Self-management of Depressive Symptoms., , , and . ACM Trans. Comput. Heal., 2 (4): 31:1-31:21 (2021)Personal health systems for bipolar disorder Anecdotes, challenges and lessons learnt from MONARCA project., , , , , , , , , and 11 other author(s). PervasiveHealth, page 424-429. IEEE, (2013)Designing for hourly activity sampling in behavioral activation., , , and . PervasiveHealth, page 431-435. ACM, (2017)Design and Implementation of a Web-based Application to Assess Cognitive Impairment in Affective Disorder., , , and . DH, page 154-155. ACM, (2018)