| Evaluating model robustness and stability to dataset shift A Subbaswamy, R Adams, S Saria International Conference on Artificial Intelligence and Statistics, 2611-2619, 2021 | 57 | 2021 |
| Prospective, multi-site study of patient outcomes after implementation of the TREWS machine learning-based early warning system for sepsis R Adams, KE Henry, A Sridharan, H Soleimani, A Zhan, N Rawat, ... Nature medicine 28 (7), 1455-1460, 2022 | 46 | 2022 |
| Impact of a collective intelligence tailored messaging system on smoking cessation: the Perspect randomized experiment RS Sadasivam, EM Borglund, R Adams, BM Marlin, TK Houston Journal of medical Internet research 18 (11), e285, 2016 | 46 | 2016 |
| Deep phenotyping of Parkinson’s disease E Dorsey, L Omberg, E Waddell, JL Adams, R Adams, MR Ali, K Amodeo, ... Journal of Parkinson's Disease 10 (3), 855-873, 2020 | 39 | 2020 |
| rconverse: Moment by moment conversation detection using a mobile respiration sensor R Bari, RJ Adams, MM Rahman, MB Parsons, EH Buder, S Kumar Proceedings of the ACM on interactive, mobile, wearable and ubiquitous …, 2018 | 27 | 2018 |
| Towards collaborative filtering recommender systems for tailored health communications BM Marlin, RJ Adams, R Sadasivam, TK Houston AMIA annual symposium proceedings 2013, 1600, 2013 | 23* | 2013 |
| Factors driving provider adoption of the TREWS machine learning-based early warning system and its effects on sepsis treatment timing KE Henry, R Adams, C Parent, H Soleimani, A Sridharan, L Johnson, ... Nature Medicine, 1-8, 2022 | 22 | 2022 |
| PERSPeCT: collaborative filtering for tailored health communications RJ Adams, RS Sadasivam, K Balakrishnan, RL Kinney, TK Houston, ... Proceedings of the 8th ACM Conference on Recommender systems, 329-332, 2014 | 20 | 2014 |
| Hierarchical span-based conditional random fields for labeling and segmenting events in wearable sensor data streams R Adams, N Saleheen, E Thomaz, A Parate, S Kumar, B Marlin International conference on machine learning, 334-343, 2016 | 17 | 2016 |
| A bias evaluation checklist for predictive models and its pilot application for 30-day hospital readmission models HE Wang, M Landers, R Adams, A Subbaswamy, H Kharrazi, DJ Gaskin, ... Journal of the American Medical Informatics Association 29 (8), 1323-1333, 2022 | 12 | 2022 |
| Partial identifiability in discrete data with measurement error N Finkelstein, R Adams, S Saria, I Shpitser Uncertainty in Artificial Intelligence, 1798-1808, 2021 | 12 | 2021 |
| Learning time series detection models from temporally imprecise labels R Adams, B Marlin Artificial Intelligence and Statistics, 157-165, 2017 | 12 | 2017 |
| Learning models from data with measurement error: Tackling underreporting R Adams, Y Ji, X Wang, S Saria International Conference on Machine Learning, 61-70, 2019 | 11 | 2019 |
| Learning Time Series Segmentation Models from Temporally Imprecise Labels RJ Adams, BM Marlin The Conference on Uncertainty in Artificial Intelligence (UAI), 2018 | 8 | 2018 |
| Parsing wireless electrocardiogram signals with context free grammar conditional random fields T Nguyen, RJ Adams, A Natarajan, BM Marlin 2016 IEEE Wireless Health (WH), 1-8, 2016 | 4 | 2016 |
| Evaluating adoption, impact, and factors driving adoption for TREWS, a machine learning-based sepsis alerting system KE Henry, R Adams, C Parent, A Sridharan, L Johnson, DN Hager, ... medRxiv, 2021 | 2 | 2021 |
| 1405: assessing clinical use and performance of a machine learning sepsis alert for sex and racial bias R Adams, K Henry, H Soleimani, N Rawat, M Saheed, E Chen, A Wu, ... Critical Care Medicine 50 (1), 705, 2022 | 1 | 2022 |
| 1429: LEAD TIME AND ACCURACY OF TREWS, A MACHINE LEARNING-BASED SEPSIS ALERT S Saria, K Henry, H Soleimani, R Adams, A Zhan, N Rawat, E Chen, A Wu Critical Care Medicine 50 (1), 717, 2022 | 1 | 2022 |
| The impact of time series length and discretization on longitudinal causal estimation methods R Adams, S Saria, M Rosenblum arXiv preprint arXiv:2011.15099, 2020 | 1 | 2020 |
| Machine Learning Methods for Activity Detection in Wearable Sensor Data Streams R Adams | 1 | 2018 |
Dr. Suchi SariaJohn C. Malone Associate Professor of Computer Science, Statistics, Health Policy, Johns HopkinsVahvistettu sähköpostiosoite verkkotunnuksessa cs.jhu.edu
