Matthew B. A. McDermott

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Dr. Marzyeh GhassemiAssociate Professor, EECS/IMES, MITVerified email at mit.edu
Tristan NaumannPrincipal Researcher, Microsoft Research Health FuturesVerified email at microsoft.com
Emily AlsentzerPostdoctoral Fellow, Harvard Medical SchoolVerified email at bwh.harvard.edu
Peter SzolovitsProfessor of Computer Science and Engineering, MITVerified email at mit.edu
William BoagMassachusetts Institute of TechnologyVerified email at mit.edu
Wei-Hung WengGoogle ResearchVerified email at mit.edu
Irene Y. ChenAssistant Professor, UC Berkeley and UC San FranciscoVerified email at berkeley.edu
Di JinSenior Research Scientist, Meta GenAIVerified email at mit.edu
Laleh Seyyed-KalantariAssistant Professor, York UniversityVerified email at yorku.ca
Bret NestorPostdoctoral Researcher, University of WashingtonVerified email at cs.washington.edu
Tzu-Ming Harry HsuMassachusetts Institute of TechnologyVerified email at mit.edu
Geeticka ChauhanGoogle DeepMindVerified email at mit.edu
Haoran ZhangPhD Student, Massachusetts Institute of TechnologyVerified email at mit.edu
Guanxiong LiuUniversity of TorontoVerified email at cs.toronto.edu
Michael C. HughesAssistant Professor of Computer Science, Tufts UniversityVerified email at michaelchughes.com
Anna GoldenbergScientist, SickKids Research Institute; Assistant Professor Department of Computer Science, University of TorontoVerified email at utoronto.ca
Rajesh RanganathAssistant Professor, NYUVerified email at cs.princeton.edu
Luca FoschiniPresident & CEO, Sage BionetworksVerified email at sagebionetworks.org
Samuel G. FinlaysonMD-PhD. Pediatrics-Genetics Resident at UW/Seattle Children'sVerified email at seattlechildrens.org
Adrian V DalcaHarvard Medical School & Massachusetts Institute of TechnologyVerified email at mit.edu

Matthew B. A. McDermott

Postdoctoral Researcher, Harvard Medical School, Department of Biomedical Informatics

Verified email at hms.harvard.edu

Machine Learning Biomedical Informatics


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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	2290	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	451	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	301	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	286	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	252*	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	225	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	188*	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	181	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	66	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	63	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	59*	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	46	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	35	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	34	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	33	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	21	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	20	2019
A closer look at auroc and auprc under class imbalance M McDermott, LH Hansen, H Zhang, G Angelotti, J Gallifant arXiv preprint arXiv:2401.06091, 2024	17	2024
Event Stream GPT: a data pre-processing and modeling library for generative, pre-trained transformers over continuous-time sequences of complex events M McDermott, B Nestor, P Argaw, IS Kohane Advances in Neural Information Processing Systems 36, 24322-24334, 2023	17	2023
APPRAISE-AI Tool for quantitative evaluation of AI studies for clinical decision support JCC Kwong, A Khondker, K Lajkosz, MBA McDermott, XB Frigola, ... JAMA Network Open 6 (9), e2335377-e2335377, 2023	17	2023

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