| Interpretable machine learning in healthcare MA Ahmad, C Eckert, A Teredesai Proceedings of the 2018 ACM international conference on bioinformatics …, 2018 | 695 | 2018 |
| Fairness in machine learning for healthcare MA Ahmad, A Patel, C Eckert, V Kumar, A Teredesai Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 79 | 2020 |
| Chronic health risks in commercial fishermen: a cross-sectional analysis from a small rural fishing village in Alaska C Eckert, T Baker, D Cherry Journal of agromedicine 23 (2), 176-185, 2018 | 26 | 2018 |
| Ambient air pollution and risk of respiratory infection among adults: evidence from the multiethnic study of atherosclerosis (MESA) K Kirwa, CM Eckert, S Vedal, A Hajat, JD Kaufman BMJ open respiratory research 8 (1), e000866, 2021 | 25 | 2021 |
| Fairness, accountability, transparency in AI at scale: Lessons from national programs MA Ahmad, A Teredesai, C Eckert Proceedings of the 2020 conference on fairness, accountability, and …, 2020 | 24 | 2020 |
| A surgeon’s guide to machine learning DT Lammers, CM Eckert, MA Ahmad, JR Bingham, MJ Eckert Annals of Surgery Open 2 (3), e091, 2021 | 17 | 2021 |
| Development and prospective validation of a machine learning-based risk of readmission model in a large military hospital C Eckert, N Nieves-Robbins, E Spieker, T Louwers, D Hazel, J Marquardt, ... Applied clinical informatics 10 (02), 316-325, 2019 | 16 | 2019 |
| Death vs. data science: predicting end of life M Ahmad, C Eckert, G McKelvey, K Zolfagar, A Zahid, A Teredesai Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 13 | 2018 |
| The challenge of imputation in explainable artificial intelligence models MA Ahmad, C Eckert, A Teredesai arXiv preprint arXiv:1907.12669, 2019 | 12 | 2019 |
| Interpretable machine learning in healthcare T McKelvey, M Ahmad, A Teredesai, C Eckert Proceedings of the 2018 ACM International Conference on Bioinformatics …, 2018 | 9 | 2018 |
| Occupational hydrofluoric acid injury from car and truck washing—Washington State, 2001-2013 CK Reeb-Whitaker, CM Eckert, NJ Anderson, DK Bonauto MMWR Morb Mortal Wkly Rep 64 (32), 874-877, 2015 | 9 | 2015 |
| Big problems in little patients: nationwide blunt cerebrovascular injury outcomes in the pediatric population CW Marenco, WS Do, DT Lammers, KR Morte, MJ Eckert, CM Eckert, ... Journal of Trauma and Acute Care Surgery 87 (5), 1088-1095, 2019 | 8 | 2019 |
| Software as a Medical Device: Regulating AI in Healthcare via Responsible AI MA Ahmad, S Overman, C Allen, V Kumar, A Teredesai, C Eckert Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 6 | 2021 |
| Fairness in Healthcare AI MA Ahmad, C Eckert, C Allen, V Kumar, J Hu, A Teredesai 2021 IEEE 9th International Conference on Healthcare Informatics (ICHI), 554-555, 2021 | 4 | 2021 |
| Beyond the Spreadsheet: Data Management for Physicians in the Era of Big Data C Eckert Surgical Clinics 103 (2), 335-346, 2023 | 2 | 2023 |
| S45 predicting likelihood of emergency department admission prior to triage: utilising machine learning within a COPD cohort C Eckert, M Ahmad, K Zolfaghar, G McKelvey, C Carlin, D Lowe Thorax 73 (Suppl 4), A28-A28, 2018 | 2 | 2018 |
| 12 predicting patients at risk for leaving without being seen using machine learning P Casey, K Zolfaghar, C Eckert, L Waters, H Sonntag, T McKelvey, ... Annals of Emergency Medicine 72 (4), S5-S6, 2018 | 2 | 2018 |
| Automatic detection of excess healthcare spending and cost variation in ACOs E Liu, MA Ahmad, C Eckert, A Nascimento, M De Cock, K Padthe, ... SIAM, 2018 | 2 | 2018 |
| Surgical Clinics of North America DM Krpata, VP Punja, J Paul, SA Shah, LC Cancio, JR Bingham, ... Emergency, 2023 | 1 | 2023 |
| Emergency Department Optimization and Load Prediction in Hospitals KK Padthe, V Kumar, CM Eckert, NM Mark, A Zahid, MA Ahmad, ... arXiv preprint arXiv:2102.03672, 2021 | 1 | 2021 |
