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2020 – today
- 2024
[j1]William Boag, Alifia Hasan
, Jee Young Kim, Mike Revoir, Marshall Nichols, William Ratliff, Michael Gao, Shira Zilberstein, Zainab Samad, Zahra Hoodbhoy, Mushyada Ali, Nida Saddaf Khan, Manesh Patel, Suresh Balu, Mark P. Sendak:
The algorithm journey map: a tangible approach to implementing AI solutions in healthcare. npj Digit. Medicine 7(1) (2024)- 2023
- [c16]Jee Young Kim, William Boag, Freya Gulamali, Alifia Hasan, Henry David Jeffry Hogg, Mark Lifson, Deirdre K. Mulligan, Manesh Patel, Inioluwa Deborah Raji, Ajai Sehgal, Keo Shaw, Danny Tobey, Alexandra Valladares, David E. Vidal, Suresh Balu, Mark P. Sendak:
Organizational Governance of Emerging Technologies: AI Adoption in Healthcare. FAccT 2023: 1396-1417 - [i9]Jee Young Kim, William Boag, Freya Gulamali, Alifia Hasan, Henry David Jeffry Hogg, Mark Lifson, Deirdre K. Mulligan, Manesh Patel, Inioluwa Deborah Raji, Ajai Sehgal, Keo Shaw, Danny Tobey, Alexandra Valladares, David E. Vidal, Suresh Balu, Mark P. Sendak:
Organizational Governance of Emerging Technologies: AI Adoption in Healthcare. CoRR abs/2304.13081 (2023) - 2022
- [b1]William Boag:
Evidence-based AI Ethics. MIT, USA, 2022 - [c15]Agustina Saenz, Julie Vaughn, Jeffrey Schnipper, Moustafa Abdalla, William Boag:
Assessment of Natural Language Processing Methods to Predict Functional Pain Scores from Inpatient Clinical Notes. AMIA 2022 - [c14]William Boag, Harini Suresh, Bianca Lepe, Catherine D'Ignazio:
Tech Worker Organizing for Power and Accountability. FAccT 2022: 452-463 - [c13]William Boag, Mercy Oladipo, Peter Szolovits:
EHR Safari: Data is Contextual. MLHC 2022: 391-408 - 2021
- [c12]William Boag, Hassan Kané, Saumya Rawat, Jesse Wei, Alexander Goehler:
A Pilot Study in Surveying Clinical Judgments to Evaluate Radiology Report Generation. FAccT 2021: 458-465 - 2020
- [c11]Shems Saleh, William Boag, Lauren Erdman, Tristan Naumann:
Clinical Collabsheets: 53 Questions to Guide a Clinical Collaboration. MLHC 2020: 783-812
2010 – 2019
- 2019
- [c10]Guanxiong Liu, Tzu-Ming Harry Hsu, Matthew B. A. McDermott, Willie Boag, Wei-Hung Weng, Peter Szolovits, Marzyeh Ghassemi:
Clinically Accurate Chest X-Ray Report Generation. MLHC 2019: 249-269 - [c9]Bret Nestor, Matthew B. A. McDermott, Willie Boag, Gabriela Berner, Tristan Naumann, Michael C. Hughes, Anna Goldenberg, Marzyeh Ghassemi:
Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks. MLHC 2019: 381-405 - [c8]William Boag, Tzu-Ming Harry Hsu, Matthew B. A. McDermott, Gabriela Berner, Emily Alsentzer, Peter Szolovits:
Baselines for Chest X-Ray Report Generation. ML4H@NeurIPS 2019: 126-140 - [i8]Guanxiong Liu, Tzu-Ming Harry Hsu, Matthew B. A. McDermott, Willie Boag, Wei-Hung Weng, Peter Szolovits, Marzyeh Ghassemi:
Clinically Accurate Chest X-Ray Report Generation. CoRR abs/1904.02633 (2019) - [i7]Emily Alsentzer, John R. Murphy, Willie Boag, Wei-Hung Weng, Di Jin, Tristan Naumann, Matthew B. A. McDermott:
Publicly Available Clinical BERT Embeddings. CoRR abs/1904.03323 (2019) - [i6]Bret Nestor, Matthew B. A. McDermott, Willie Boag, Gabriela Berner, Tristan Naumann, Michael C. Hughes, Anna Goldenberg, Marzyeh Ghassemi:
Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks. CoRR abs/1908.00690 (2019) - 2018
- [c7]Michele Filannino, Kahyun Lee, Di Jin, Kevin Buchan, William Boag, Özlem Uzuner:
Precision Medicine: matching cancer patients with clinical trials. AMIA 2018 - [c6]Kahyun Lee, Michele Filannino, Di Jin, Kevin Buchan, William Boag, Özlem Uzuner:
Precision Medicine: matching cancer patients with relevant treatments. AMIA 2018 - [c5]Willie Boag, Harini Suresh, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi:
Racial Disparities and Mistrust in End-of-Life Care. MLHC 2018: 587-602 - [i5]Willie Boag, Elena Sergeeva, Saurabh Kulshreshtha, Peter Szolovits, Anna Rumshisky, Tristan Naumann:
CliNER 2.0: Accessible and Accurate Clinical Concept Extraction. CoRR abs/1803.02245 (2018) - [i4]Willie Boag, Tristan Naumann, Peter Szolovits:
Towards the Creation of a Large Corpus of Synthetically-Identified Clinical Notes. CoRR abs/1803.02728 (2018) - [i3]Willie Boag, Harini Suresh, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi:
Modeling Mistrust in End-of-Life Care. CoRR abs/1807.00124 (2018) - [i2]Tzu-Ming Harry Hsu, Wei-Hung Weng, Willie Boag, Matthew B. A. McDermott, Peter Szolovits:
Unsupervised Multimodal Representation Learning across Medical Images and Reports. CoRR abs/1811.08615 (2018) - 2017
- [c4]Yuan Ling, Sadid A. Hasan, Michele Filannino, Kevin P. Buchan, Kahyun Lee, Joey Liu, William Boag, Di Jin, Özlem Uzuner, Kathy Lee, Vivek V. Datla, Ashequl Qadir, Oladimeji Farri:
A Hybrid Approach to Precision Medicine-related Biomedical Article Retrieval and Clinical Trial Matching. TREC 2017 - [i1]Willie Boag, Hassan Kané:
AWE-CM Vectors: Augmenting Word Embeddings with a Clinical Metathesaurus. CoRR abs/1712.01460 (2017) - 2016
- [c3]William Boag, Renan Campos, Kate Saenko, Anna Rumshisky:
MUTT: Metric Unit TesTing for Language Generation Tasks. ACL (1) 2016 - [c2]Peter Potash, William Boag, Alexey Romanov, Vasili Ramanishka, Anna Rumshisky:
SimiHawk at SemEval-2016 Task 1: A Deep Ensemble System for Semantic Textual Similarity. SemEval@NAACL-HLT 2016: 741-748 - 2015
- [c1]William Boag, Peter Potash, Anna Rumshisky:
TwitterHawk: A Feature Bucket Based Approach to Sentiment Analysis. SemEval@NAACL-HLT 2015: 640-646
Coauthor Index
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last updated on 2024-08-29 21:00 CEST by the dblp team
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