| Why Is My Classifier Discriminatory? IY Chen, FD Johansson, D Sontag Neural Information Processing Systems (NeurIPS) 2018, 3543-3554, 2018 | 199 | 2018 |
| Can AI Help Reduce Disparities in General Medical and Mental Health Care? IY Chen, P Szolovits, M Ghassemi AMA Journal of Ethics 21 (2), 167-179, 2019 | 106 | 2019 |
| A review of challenges and opportunities in machine learning for health M Ghassemi, T Naumann, P Schulam, AL Beam, IY Chen, R Ranganath AMIA Summits on Translational Science Proceedings 2020, 191, 2020 | 99* | 2020 |
| Practical guidance on artificial intelligence for health-care data M Ghassemi, T Naumann, P Schulam, AL Beam, IY Chen, R Ranganath The Lancet Digital Health 1 (4), e157-e159, 2019 | 44 | 2019 |
| CheXclusion: Fairness gaps in deep chest X-ray classifiers L Seyyed-Kalantari, G Liu, M McDermott, IY Chen, M Ghassemi Pacific Symposium of Biocomputing 2021, 2020 | 35 | 2020 |
| Treating health disparities with artificial intelligence IY Chen, S Joshi, M Ghassemi Nature medicine 26 (1), 16-17, 2020 | 35 | 2020 |
| Ethical Machine Learning in Health IY Chen, E Pierson, S Rose, S Joshi, K Ferryman, M Ghassemi Annual Review of Biomedical Data Science 4, 2020 | 30* | 2020 |
| Trends and focus of machine learning applications for health research B Beaulieu-Jones, SG Finlayson, C Chivers, I Chen, M McDermott, ... JAMA network open 2 (10), e1914051-e1914051, 2019 | 26 | 2019 |
| Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health Knowledge Graph IY Chen, M Agrawal, S Horng, D Sontag Pacific Symposium of Biocomputing 2020, 2019 | 19 | 2019 |
| Turning the crank for machine learning: ease, at what expense? TJ Pollard, I Chen, J Wiens, S Horng, D Wong, M Ghassemi, H Mattie, ... The Lancet Digital Health 1 (5), e198-e199, 2019 | 9 | 2019 |
| Probabilistic Machine Learning for Healthcare IY Chen, S Joshi, M Ghassemi, R Ranganath Annual Review of Biomedical Data Science 4, 2020 | 6 | 2020 |
| We should treat algorithms like prescription drugs A Coravos, I Chen, A Gordhandas, AD Stern Quartz, 2019 | 4 | 2019 |
| Machine learning for health (ML4H) workshop at NeurIPS 2018 N Antropova, AL Beam, BK Beaulieu-Jones, I Chen, C Chivers, A Dalca, ... Workshop proceedings, 2018 | 4 | 2018 |
| Intimate Partner Violence and Injury Prediction From Radiology Reports IY Chen, E Alsentzer, H Park, R Thomas, B Gosangi, R Gujrathi, ... Pacific Symposium of Biocomputing 2021, 2020 | 2 | 2020 |
| Recognizing Isolated Ulnar Fractures as Potential Markers for Intimate Partner Violence B Khurana, D Sing, R Gujrathi, A Keraliya, CP Bay, I Chen, SE Seltzer, ... Journal of the American College of Radiology, 2021 | 1 | 2021 |
| Medical imaging algorithms exacerbate biases in underdiagnosis L Seyyed-Kalantari, G Liu, M McDermott, I Chen, M Ghassemi | 1 | 2021 |
| PGI27 Applying Machine Learning to Large Databases to Predict Nonresponse to Conventional Treatment in Patients with Ulcerative Colitis I Chen, HM Berlin, W Boag, D Sontag, P Szolovits, P Kamble, S Wang, ... Value in Health 24, S99, 2021 | | 2021 |
| Clustering Left-Censored Multivariate Time-Series IY Chen, RG Krishnan, D Sontag arXiv preprint arXiv:2102.07005, 2021 | | 2021 |
| Turning the crank for machine learning: ease, at what expense?(vol 1, pg 198, 2019) TJ Pollard, I Chen, J Wiens LANCET DIGITAL HEALTH 1 (6), E260-E260, 2019 | | 2019 |
| Correction to Lancet Digital Health 2019; 1: e198–99 TJ Pollard, I Chen, J Wiens | | 2019 |
Dr. Marzyeh GhassemiAssistant Professor, EECS.CSAIL/IMES, MITVerified email at mit.edu
