Matthew B. A. McDermott

Author

Also Known As

Balagopalan, Aparna, Matthew B A McDermott, Matthew B. A. McDermott, Matthew B.A. McDermott, Matthew McDermott, Matthew Mcdermott, McDermott, Matthew, McDermott, Matthew B. A., McDermott, Matthew B.A.

Publications

4.3K

Citations

H-Index

Concepts

All Affiliations

University of Toronto Massachusetts Institute of Technology Vector Institute Microsoft Research (United Kingdom)Moscow Institute of Thermal Technology

About

Matthew B. A. McDermott is an author at University of Toronto specializing in machine learning, engineering, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	16	18	2.9K
2	Medicine	8	8	2.6K
3	Health Sciences	4	4	1.6K
4	Language Studies	3	3	767
5	Management	2	2	147

Matthew B. A. McDermott

Publications

3.8K

Citations

H-Index

Page 1

	Year	Citations
Publicly Available Clinical Emily Alsentzer, John R. Murphy, William Boag, EngineeringMachine LearningEvidence-based MedicineBert ModelsMultilingual Pretraining	2019	1.5K
Publicly Available Clinical BERT Embeddings Emily Alsentzer, John R. Murphy, Willie Boag, arXiv (Cornell University) EngineeringMachine LearningBert ModelsLanguage ProcessingText Mining	2019	718
Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations Laleh Seyyed-Kalantari, Haoran Zhang, Matthew B. A. McDermott, Nature Medicine	2021	673
MIMIC-Extract Shirly Wang, Matthew B. A. McDermott, Geeticka Chauhan, EngineeringMachine LearningData ScienceOpen Source PipelineOutlier Handling	2020	135
Hurtful words Haoran Zhang, Amy X. Lu, Mohamed Abdalla, Natural Language ProcessingStructured PredictionEpidemiologyEngineeringMachine Learning	2020	119
Clinically Accurate Chest X-Ray Report Generation Guanxiong Liu, Tzu-Ming Harry Hsu, Matthew B. A. McDermott, arXiv (Cornell University) Artificial IntelligenceStructured PredictionEngineeringMachine LearningDiagnosis	2019	111
Trends and Focus of Machine Learning Applications for Health Research Brett K. Beaulieu‐Jones, Samuel G. Finlayson, Corey Chivers, JAMA Network Open	2019	69
Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks Bret Nestor, Matthew B. A. McDermott, Willie Boag, arXiv (Cornell University) EngineeringMachine LearningMortality PredictionDiagnosisFeature Robustness	2019	54
Clinically Accurate Chest X-Ray Report Generation. Guanxiong Liu, Tzu-Ming Harry Hsu, Matthew B. A. McDermott, Machine Learning for Healthcare Conference Artificial IntelligenceStructured PredictionEngineeringMachine LearningDiagnosis	2019	43
MIMIC-Extract: A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III Shirly Wang, Matthew B. A. McDermott, Geeticka Chauhan arXiv (Cornell University)	2019	42

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