William Boag
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Publicly available clinical BERT embeddings
E Alsentzer, JR Murphy, W Boag, WH Weng, D Jin, T Naumann, ...
arXiv preprint arXiv:1904.03323, 2019
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
Feature robustness in non-stationary health records: caveats to deployable model performance in common clinical machine learning tasks
B Nestor, MBA McDermott, W Boag, G Berner, T Naumann, MC Hughes, ...
Machine Learning for Healthcare Conference, 381-405, 2019
What’s in a note? unpacking predictive value in clinical note representations
W Boag, D Doss, T Naumann, P Szolovits
AMIA Summits on Translational Science Proceedings 2018, 26, 2018
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
CliNER: a lightweight tool for clinical named entity recognition
W Boag, K Wacome, T Naumann, A Rumshisky
AMIA joint summits on clinical research informatics (poster), 2015
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
Cliner 2.0: Accessible and accurate clinical concept extraction
W Boag, E Sergeeva, S Kulshreshtha, P Szolovits, A Rumshisky, ...
arXiv preprint arXiv:1803.02245, 2018
Twitterhawk: A feature bucket based approach to sentiment analysis
W Boag, P Potash, A Rumshisky
Proceedings of the 9th International Workshop on Semantic Evaluation …, 2015
Proceedings of the 2nd Clinical Natural Language Processing Workshop
E Alsentzer, J Murphy, W Boag, WH Weng, D Jindi, T Naumann, ...
Minneapolis, MN, 2019
Tech worker organizing for power and accountability
W Boag, H Suresh, B Lepe, C D'Ignazio
Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022
Hard for humans, hard for machines: predicting readmission after psychiatric hospitalization using narrative notes
W Boag, O Kovaleva, TH McCoy Jr, A Rumshisky, P Szolovits, RH Perlis
Translational psychiatry 11 (1), 32, 2021
Racial disparities and mistrust in end-of-life care
W Boag, H Suresh, LA Celi, P Szolovits, M Ghassemi
Machine learning for healthcare conference, 587-602, 2018
Organizational governance of emerging technologies: AI adoption in healthcare
JY Kim, W Boag, F Gulamali, A Hasan, HDJ Hogg, M Lifson, D Mulligan, ...
proceedings of the 2023 ACM conference on fairness, accountability, and …, 2023
Awe-cm vectors: Augmenting word embeddings with a clinical metathesaurus
W Boag, H Kané
arXiv preprint arXiv:1712.01460, 2017
Clinical collabsheets: 53 questions to guide a clinical collaboration
S Saleh, W Boag, L Erdman, T Naumann
Machine Learning for Healthcare Conference, 783-812, 2020
A Hybrid Approach to Precision Medicine-related Biomedical Article Retrieval and Clinical Trial Matching.
Y Ling, SA Hasan, M Filannino, KP Buchan, K Lee, J Liu, W Boag, D Jin, ...
TREC, 2017
Simihawk at semeval-2016 task 1: A deep ensemble system for semantic textual similarity
P Potash, W Boag, A Romanov, V Ramanishka, A Rumshisky
Proceedings of the 10th International Workshop on Semantic Evaluation …, 2016
A Pilot Study in Surveying Clinical Judgments to Evaluate Radiology Report Generation
W Boag, H Kané, S Rawat, J Wei, A Goehler
Proceedings of the 2021 ACM Conference on Fairness, Accountability, and …, 2021
EHR safari: data is contextual
W Boag, M Oladipo, P Szolovits
Machine Learning for Healthcare Conference, 391-408, 2022
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