Matthew B. A. McDermott

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Dr. Marzyeh GhassemiAssistant Professor, EECS.CSAIL/IMES, MITPotvrđena adresa e-pošte na mit.edu
Tristan NaumannPrincipal Researcher, Microsoft Research Health FuturesPotvrđena adresa e-pošte na microsoft.com
Emily AlsentzerPostdoctoral Fellow, Harvard Medical SchoolPotvrđena adresa e-pošte na bwh.harvard.edu
Peter SzolovitsProfessor of Computer Science and Engineering, MITPotvrđena adresa e-pošte na mit.edu
William BoagMassachusetts Institute of TechnologyPotvrđena adresa e-pošte na mit.edu
Wei-Hung WengGoogle ResearchPotvrđena adresa e-pošte na mit.edu
Irene Y. ChenAssistant Professor, UC Berkeley and UC San FranciscoPotvrđena adresa e-pošte na berkeley.edu
Di JinSenior Research Scientist, Meta GenAIPotvrđena adresa e-pošte na mit.edu
Bret NestorPostdoctoral Researcher, University of WashingtonPotvrđena adresa e-pošte na cs.washington.edu
Laleh Seyyed-KalantariAssistant Professor, York UniversityPotvrđena adresa e-pošte na yorku.ca
Tzu-Ming Harry HsuMassachusetts Institute of TechnologyPotvrđena adresa e-pošte na mit.edu
Geeticka ChauhanGraduate Student, MITPotvrđena adresa e-pošte na mit.edu
Guanxiong LiuUniversity of TorontoPotvrđena adresa e-pošte na cs.toronto.edu
Michael C. HughesAssistant Professor of Computer Science, Tufts UniversityPotvrđena adresa e-pošte na michaelchughes.com
Anna GoldenbergScientist, SickKids Research Institute; Assistant Professor Department of Computer Science, University of TorontoPotvrđena adresa e-pošte na utoronto.ca
Rajesh RanganathAssistant Professor, NYUPotvrđena adresa e-pošte na cs.princeton.edu
Luca FoschiniPresident & CEO, Sage BionetworksPotvrđena adresa e-pošte na sagebionetworks.org
Haoran ZhangPhD Student, Massachusetts Institute of TechnologyPotvrđena adresa e-pošte na mit.edu
Samuel G. FinlaysonMD-PhD. Pediatrics-Genetics Resident at UW/Seattle Children'sPotvrđena adresa e-pošte na seattlechildrens.org
Adrian DalcaHarvard Medical School & Massachusetts Institute of TechnologyPotvrđena adresa e-pošte na mit.edu

Prati

Matthew B. A. McDermott

Postdoctoral Researcher, Harvard Medical School, Department of Biomedical Informatics

Potvrđena adresa e-pošte na hms.harvard.edu

Machine Learning Biomedical Informatics


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
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	1964	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	332	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	256	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	251	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	212*	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	187	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	170*	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	151	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	60	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	57	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	49*	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	44	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	34	2020
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	32	2018
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	31	2021
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
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	17	2020
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	16	2019
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	15*	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	15	2018

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