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Haoran Zhang
Haoran Zhang
Verified email at mit.edu - Homepage
Title
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Year
Hurtful words: quantifying biases in clinical contextual word embeddings
H Zhang, AX Lu, M Abdalla, M McDermott, M Ghassemi
Proceedings of the ACM Conference on Health, Inference, and Learning, 110-120, 2020
572020
Self-supervised contrastive learning of protein representations by mutual information maximization
AX Lu, H Zhang, M Ghassemi, AM Moses
bioRxiv, 2020
262020
Reading Race: AI Recognises Patient's Racial Identity In Medical Images
I Banerjee, AR Bhimireddy, JL Burns, LA Celi, LC Chen, R Correa, ...
arXiv preprint arXiv:2107.10356, 2021
232021
An Empirical Framework for Domain Generalization in Clinical Settings
H Zhang, N Dullerud, L Seyyed-Kalantari, Q Morris, S Joshi, M Ghassemi
Proceedings of the Conference on Health, Inference, and Learning, 279-290, 2021
172021
Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations
L Seyyed-Kalantari, H Zhang, M McDermott, IY Chen, M Ghassemi
Nature medicine 27 (12), 2176-2182, 2021
112021
An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare
TW Killian, H Zhang, J Subramanian, M Fatemi, M Ghassemi
arXiv preprint arXiv:2011.11235, 2020
92020
Identifying Transitional High Cost Users from Unstructured Patient Profiles Written by Primary Care Physicians
H Zhang, E Candido, AS Wilton, R Duchen, L Jaakkimainen, W Wodchis, ...
PACIFIC SYMPOSIUM ON BIOCOMPUTING 2020, 127-138, 2019
52019
A comparison of approaches to improve worst-case predictive model performance over patient subpopulations
SR Pfohl, H Zhang, Y Xu, A Foryciarz, M Ghassemi, NH Shah
Scientific Reports 12 (1), 1-13, 2022
32022
Learning Optimal Predictive Checklists
H Zhang, Q Morris, B Ustun, M Ghassemi
Advances in Neural Information Processing Systems 34, 2021
32021
Categorizing emails using machine learning with textual features
H Zhang, J Rangrej, S Rais, M Hillmer, F Rudzicz, K Malikov
Canadian Conference on Artificial Intelligence, 3-15, 2019
32019
Improving the Fairness of Chest X-ray Classifiers
H Zhang, N Dullerud, K Roth, L Oakden-Rayner, S Pfohl, M Ghassemi
Conference on Health, Inference, and Learning, 204-233, 2022
12022
Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training Debiasing
S Gowda, S Joshi, H Zhang, M Ghassemi
arXiv preprint arXiv:2108.12510, 2021
12021
The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations
A Balagopalan, H Zhang, K Hamidieh, T Hartvigsen, F Rudzicz, ...
arXiv preprint arXiv:2205.03295, 2022
2022
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