Matthew B. A. McDermott
Matthew B. A. McDermott
Postdoctoral Researcher, Harvard Medical School, Department of Biomedical Informatics
Verified email at
Cited by
Cited by
Publicly available clinical BERT embeddings
E Alsentzer, JR Murphy, W Boag, WH Weng, D Jin, T Naumann, ...
Proceedings of the 2nd Clinical Natural Language Processing Workshop 2 (W19 …, 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
CheXclusion: Fairness gaps in deep chest X-ray classifiers
L Seyyed-Kalantari, G Liu, M McDermott, IY Chen, M Ghassemi
BIOCOMPUTING 2021: proceedings of the Pacific symposium, 232-243, 2020
Clinically accurate chest x-ray report generation
G Liu, TMH Hsu, M McDermott, W Boag, WH Weng, P Szolovits, ...
Machine Learning for Healthcare Conference, 249-269, 2019
Reproducibility in machine learning for health research: Still a ways to go
MBA McDermott, S Wang, N Marinsek, R Ranganath, L Foschini, ...
Science Translational Medicine 13 (586), eabb1655, 2021
Mimic-extract: A data extraction, preprocessing, and representation pipeline for mimic-iii
S Wang, MBA McDermott, G Chauhan, M Ghassemi, MC Hughes, ...
Proceedings of the ACM conference on health, inference, and learning, 222-235, 2020
Rethinking clinical prediction: why machine learning must consider year of care and feature aggregation
B Nestor, M McDermott, G Chauhan, T Naumann, MC Hughes, ...
Proceedings of the 4th Machine Learning for Healthcare Conference 106, 381-405, 2019
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
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
Baselines for chest x-ray report generation
W Boag, TMH Hsu, M McDermott, G Berner, E Alesentzer, P Szolovits
Machine learning for health workshop, 126-140, 2020
A comprehensive EHR timeseries pre-training benchmark
M McDermott, B Nestor, E Kim, W Zhang, A Goldenberg, P Szolovits, ...
Proceedings of the Conference on Health, Inference, and Learning, 257-278, 2021
Unsupervised multimodal representation learning across medical images and reports
TMH Hsu, WH Weng, W Boag, M McDermott, P Szolovits
arXiv preprint arXiv:1811.08615, 2018
Chexpert++: Approximating the chexpert labeler for speed, differentiability, and probabilistic output
MBA McDermott, TMH Hsu, WH Weng, M Ghassemi, P Szolovits
Machine Learning for Healthcare Conference, 913-927, 2020
Meta-learning to improve pre-training
A Raghu, J Lorraine, S Kornblith, M McDermott, DK Duvenaud
Advances in Neural Information Processing Systems 34, 23231-23244, 2021
Semi-supervised biomedical translation with cycle wasserstein regression GANs
M McDermott, T Yan, T Naumann, N Hunt, HS Suresh, P Szolovits, ...
AAAI Conference on Artificial Intelligence 32, 2363-2370, 2018
Modeling the role of negative cooperativity in metabolic regulation and homeostasis
EC Bush, AE Clark, CM DeBoever, LE Haynes, S Hussain, S Ma, ...
PLoS One 7 (11), e48920, 2012
Deep learning benchmarks on L1000 gene expression data
MBA McDermott, J Wang, WN Zhao, SD Sheridan, P Szolovits, I Kohane, ...
IEEE/ACM transactions on computational biology and bioinformatics 17 (6 …, 2019
Machine learning for health (ML4H) 2020: Advancing healthcare for all
SK Sarkar, S Roy, E Alsentzer, MBA McDermott, F Falck, I Bica, G Adams, ...
Machine Learning for Health, 1-11, 2020
A Framework for Relation Extraction Across Multiple Datasets in Multiple Domains
G Chauhan, M McDermott, P Szolovits
Proceedings of the 2019 Workshop on Widening NLP, 18-20, 2019
MIT-MEDG at SemEval-2018 task 7: Semantic relation classification via convolution neural network
D Jin, F Dernoncourt, E Sergeeva, M McDermott, G Chauhan
Proceedings of the 12th international workshop on semantic evaluation, 798-804, 2018
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