Willie Boag

According to our database, Willie Boag authored at least 24 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

The algorithm journey map: a tangible approach to implementing AI solutions in healthcare.

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

npj Digit. Medicine, 2024

2023

Organizational Governance of Emerging Technologies: AI Adoption in Healthcare.

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

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

2022

Evidence-based AI Ethics

William Boag

PhD thesis, 2022

EHR Safari: Data is Contextual.

William Boag, Mercy Oladipo, Peter Szolovits

Proceedings of the Machine Learning for Healthcare Conference, 2022

Tech Worker Organizing for Power and Accountability.

William Boag, Harini Suresh, Bianca Lepe, Catherine D'Ignazio

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Assessment of Natural Language Processing Methods to Predict Functional Pain Scores from Inpatient Clinical Notes.

Agustina Saenz, Julie Vaughn, Jeffrey Schnipper, Moustafa Abdalla, William Boag

Proceedings of the AMIA 2022, 2022

2021

A Pilot Study in Surveying Clinical Judgments to Evaluate Radiology Report Generation.

William Boag, Hassan Kané, Saumya Rawat, Jesse Wei, Alexander Goehler

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

2020

Clinical Collabsheets: 53 Questions to Guide a Clinical Collaboration.

Shems Saleh, William Boag, Lauren Erdman, Tristan Naumann

Proceedings of the Machine Learning for Healthcare Conference, 2020

2019

Publicly Available Clinical BERT Embeddings.

Emily Alsentzer, John R. Murphy, Willie Boag, Wei-Hung Weng, Di Jin, Tristan Naumann, Matthew B. A. McDermott

CoRR, 2019

Baselines for Chest X-Ray Report Generation.

William Boag, Tzu-Ming Harry Hsu, Matthew B. A. McDermott, Gabriela Berner, Emily Alsentzer, Peter Szolovits

Proceedings of the Machine Learning for Health Workshop, 2019

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, Gabriela Berner, Tristan Naumann, Michael C. Hughes, Anna Goldenberg, Marzyeh Ghassemi

Proceedings of the Machine Learning for Healthcare Conference, 2019

Clinically Accurate Chest X-Ray Report Generation.

Guanxiong Liu, Tzu-Ming Harry Hsu, Matthew B. A. McDermott, Willie Boag, Wei-Hung Weng, Peter Szolovits, Marzyeh Ghassemi

Proceedings of the Machine Learning for Healthcare Conference, 2019

2018

Unsupervised Multimodal Representation Learning across Medical Images and Reports.

Tzu-Ming Harry Hsu, Wei-Hung Weng, Willie Boag, Matthew B. A. McDermott, Peter Szolovits

CoRR, 2018

Modeling Mistrust in End-of-Life Care.

Willie Boag, Harini Suresh, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi

CoRR, 2018

Towards the Creation of a Large Corpus of Synthetically-Identified Clinical Notes.

Willie Boag, Tristan Naumann, Peter Szolovits

CoRR, 2018

CliNER 2.0: Accessible and Accurate Clinical Concept Extraction.

Willie Boag, Elena Sergeeva, Saurabh Kulshreshtha, Peter Szolovits, Anna Rumshisky, Tristan Naumann

CoRR, 2018

Racial Disparities and Mistrust in End-of-Life Care.

Willie Boag, Harini Suresh, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi

Proceedings of the Machine Learning for Healthcare Conference, 2018

Precision Medicine: matching cancer patients with relevant treatments.

Kahyun Lee, Michele Filannino, Di Jin, Kevin Buchan, William Boag, Özlem Uzuner

Proceedings of the AMIA 2018, 2018

Precision Medicine: matching cancer patients with clinical trials.

Michele Filannino, Kahyun Lee, Di Jin, Kevin Buchan, William Boag, Özlem Uzuner

Proceedings of the AMIA 2018, 2018

2017

AWE-CM Vectors: Augmenting Word Embeddings with a Clinical Metathesaurus.

Willie Boag, Hassan Kané

CoRR, 2017

A Hybrid Approach to Precision Medicine-related Biomedical Article Retrieval and Clinical Trial Matching.

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

Proceedings of The Twenty-Sixth Text REtrieval Conference, 2017

2016

SimiHawk at SemEval-2016 Task 1: A Deep Ensemble System for Semantic Textual Similarity.

Peter Potash, William Boag, Alexey Romanov, Vasili Ramanishka, Anna Rumshisky

Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

MUTT: Metric Unit TesTing for Language Generation Tasks.

William Boag, Renan Campos, Kate Saenko, Anna Rumshisky

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

TwitterHawk: A Feature Bucket Based Approach to Sentiment Analysis.

William Boag, Peter Potash, Anna Rumshisky

Proceedings of the 9th International Workshop on Semantic Evaluation, 2015