| Bewell: A smartphone application to monitor, model and promote wellbeing N Lane, M Mohammod, M Lin, X Yang, H Lu, S Ali, A Doryab, E Berke, ... 5th international ICST conference on pervasive computing technologies for …, 2012 | 525 | 2012 |
| Toss'n'turn: smartphone as sleep and sleep quality detector JK Min, A Doryab, J Wiese, S Amini, J Zimmerman, JI Hong Proceedings of the SIGCHI conference on human factors in computing systems …, 2014 | 257 | 2014 |
| Bewell: Sensing sleep, physical activities and social interactions to promote wellbeing ND Lane, M Lin, M Mohammod, X Yang, H Lu, G Cardone, S Ali, ... Mobile Networks and Applications 19, 345-359, 2014 | 204 | 2014 |
| Supporting disease insight through data analysis: refinements of the monarca self-assessment system M Frost, A Doryab, M Faurholt-Jepsen, LV Kessing, JE Bardram Proceedings of the 2013 ACM international joint conference on Pervasive and …, 2013 | 138 | 2013 |
| Phase recognition during surgical procedures using embedded and body-worn sensors JE Bardram, A Doryab, RM Jensen, PM Lange, KLG Nielsen, ST Petersen 2011 IEEE international conference on pervasive computing and communications …, 2011 | 107 | 2011 |
| Identifying behavioral phenotypes of loneliness and social isolation with passive sensing: statistical analysis, data mining and machine learning of smartphone and fitbit data A Doryab, DK Villalba, P Chikersal, JM Dutcher, M Tumminia, X Liu, ... JMIR mHealth and uHealth 7 (7), e13209, 2019 | 97 | 2019 |
| BeWell+ multi-dimensional wellbeing monitoring with community-guided user feedback and energy optimization M Lin, ND Lane, M Mohammod, X Yang, H Lu, G Cardone, S Ali, ... Proceedings of the conference on Wireless Health, 1-8, 2012 | 83 | 2012 |
| Detection of behavior change in people with depression A Doryab, JK Min, J Wiese, J Zimmerman, JI Hong Carnegie Mellon University, 2014 | 69 | 2014 |
| Leveraging routine behavior and contextually-filtered features for depression detection among college students X Xu, P Chikersal, A Doryab, DK Villalba, JM Dutcher, MJ Tumminia, ... Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2019 | 67 | 2019 |
| Activity analysis: applying activity theory to analyze complex work in hospitals J Bardram, A Doryab Proceedings of the ACM 2011 conference on Computer supported cooperative …, 2011 | 62 | 2011 |
| Estimation of symptom severity during chemotherapy from passively sensed data: exploratory study CA Low, AK Dey, D Ferreira, T Kamarck, W Sun, S Bae, A Doryab Journal of Medical Internet Research 19 (12), e420, 2017 | 55 | 2017 |
| Detecting depression and predicting its onset using longitudinal symptoms captured by passive sensing: a machine learning approach with robust feature selection P Chikersal, A Doryab, M Tumminia, DK Villalba, JM Dutcher, X Liu, ... ACM Transactions on Computer-Human Interaction (TOCHI) 28 (1), 1-41, 2021 | 47 | 2021 |
| Impact factor analysis: combining prediction with parameter ranking to reveal the impact of behavior on health outcome A Doryab, M Frost, M Faurholt-Jepsen, LV Kessing, JE Bardram Personal and Ubiquitous Computing 19, 355-365, 2015 | 43 | 2015 |
| Designing activity-aware recommender systems for operating rooms A Doryab, JE Bardram Proceedings of the 2011 Workshop on Context-awareness in Retrieval and …, 2011 | 27 | 2011 |
| Clinical surfaces–activity-based computing for distributed multi-display environments in hospitals JE Bardram, J Bunde-Pedersen, A Doryab, S Sørensen Human-Computer Interaction–INTERACT 2009: 12th IFIP TC 13 International …, 2009 | 23 | 2009 |
| Leveraging collaborative-filtering for personalized behavior modeling: a case study of depression detection among college students X Xu, P Chikersal, JM Dutcher, YS Sefidgar, W Seo, MJ Tumminia, ... Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2021 | 22 | 2021 |
| Modeling biobehavioral rhythms with passive sensing in the wild: a case study to predict readmission risk after pancreatic surgery A Doryab, AK Dey, G Kao, C Low Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2019 | 22 | 2019 |
| 'MASTerful'Matchmaking in Service Transactions: Inferred Abilities, Needs and Interests versus Activity Histories H Jung, V Bellotti, A Doryab, D Leitersdorf, J Chen, BV Hanrahan, S Lee, ... Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems …, 2016 | 20 | 2016 |
| Activity-aware recommendation for collaborative work in operating rooms A Doryab, J Togelius, J Bardram Proceedings of the 2012 ACM international conference on Intelligent User …, 2012 | 18 | 2012 |
| Extraction of Behavioral Features from Smartphone and Wearable Data A Doryab, P Chikarsel, X Liu, AK Dey arXiv preprint arXiv:1812.10394, 2018 | 16 | 2018 |
Anind K. DeyUniversity of WashingtonVerified email at uw.edu
