| Why Is My Classifier Discriminatory? IY Chen, FD Johansson, D Sontag Neural Information Processing Systems (NeurIPS) 2018, 3543-3554, 2018 | 423 | 2018 |
| 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 | 318* | 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 | 286* | 2020 |
| 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 | 257 | 2019 |
| Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations L Seyyed-Kalantari, H Zhang, MBA McDermott, IY Chen, M Ghassemi Nature medicine 27 (12), 2176-2182, 2021 | 251 | 2021 |
| 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 | 215 | 2020 |
| Treating health disparities with artificial intelligence IY Chen, S Joshi, M Ghassemi Nature medicine 26 (1), 16-17, 2020 | 87 | 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 | 78 | 2019 |
| 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 | 54 | 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 | 49 | 2019 |
| Probabilistic Machine Learning for Healthcare IY Chen, S Joshi, M Ghassemi, R Ranganath Annual Review of Biomedical Data Science 4, 2020 | 43 | 2020 |
| The Potential For Bias In Machine Learning And Opportunities For Health Insurers To Address It SS Gervasi, IY Chen, A Smith-McLallen, D Sontag, Z Obermeyer, ... Health Affairs 41 (2), 212-218, 2022 | 33 | 2022 |
| 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 | 19 | 2019 |
| 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 | 18 | 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 18 (8), 1108-1117, 2021 | 12 | 2021 |
| We should treat algorithms like prescription drugs A Coravos, I Chen, A Gordhandas, AD Stern Quartz, 2019 | 12 | 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 | 5 | 2018 |
| Machine learning identifies clusters of longitudinal autoantibody profiles predictive of systemic lupus erythematosus disease outcomes MY Choi, I Chen, AE Clarke, MJ Fritzler, KA Buhler, M Urowitz, J Hanly, ... Annals of the Rheumatic Diseases 82 (7), 927-936, 2023 | 4 | 2023 |
| Clustering Interval-Censored Time-Series for Disease Phenotyping IY Chen, RG Krishnan, D Sontag Proceedings of the AAAI Conference on Artificial Intelligence, 2022 | 4 | 2022 |
| Reply to:‘Potential sources of dataset bias complicate investigation of underdiagnosis by machine learning algorithms’ and ‘Confounding factors need to be accounted for in … L Seyyed-Kalantari, H Zhang, MBA McDermott, IY Chen, M Ghassemi Nature Medicine 28 (6), 1161-1162, 2022 | 3 | 2022 |
Dr. Marzyeh GhassemiAssistant Professor, EECS.CSAIL/IMES, MITVerified email at mit.edu
