W. Boag. Quantifying Racial Disparities in End-of-Life Care. MIT. Master’s Thesis. June, 2018. [repo]
W. Boag, H. Suresh, L.A. Celi, P. Szolovits, M. Ghassemi. Racial Disparities and Mistrust in End-of-Life Care. Machine Learning for Healthcare (MLHC 2018). August, 2018. Palo Alto, California. [repo] [slides]
W. Boag, H. Suresh, L.A. Celi, P. Szolovits, M. Ghassemi. Modeling Mistrust in End-of-Life Care. Fairness, Accountability, and Transparency in Machine Learning (FAT/ML 2018). July, 2018. Stockholm, Sweden. [repo] [poster]
W. Boag, D. Doss, T. Naumann, P. Szolovits. What’s in a Note? Unpacking Predictive Value in Clinical Note Representations. AMIA 2018 Informatics Summit. March, 2018. San Francisco, California. [repo] [slides]
W. Boag, M. Kane, P. Szolovits. AWE-CM Vectors: Augmenting Word Embeddings with a Clinical Metathesaurus. NIPS 2017 Workshop on Machine Learning for Health. December, 2017. Long Beach, California. [repo] [poster]
W. Boag, T. Naumann, E. Sergeeva, S. Kulshreshtha, P. Szolovits, A. Rumshisky. CliNER 2.0: Accessible and Accurate Clinical Concept Extraction. NIPS 2017 Workshop on Machine Learning for Health. December, 2017. Long Beach, California. [repo] [poster]
Y. Ling, S. Hasan, M. Filannino, K. Buchan, K. Lee, J. Liu, W. Boag, D. Jin, O. Uzuner, K. Lee, V. Datla, A. Qadir, D. Farri. A Hybrid Approach to Precision Medicine-related Biomedical Article Retrieval and Clinical Trial Matching. TREC 2017 Precision Medicine / Clinical Decision Support Track. November, 2017. Gaithersburg, Maryland.
W. Boag, T. Naumann, P. Szolovits. Towards the Creation of a Large Corpus of Synthetically-Identified Clinical Notes. NIPS 2016 Workshop on Machine Learning for Health. December, 2016. Barcelona, Spain. [repo] [poster]
W. Boag. Sense-Aware Word Embeddings Using Stream Clustering. UMass Lowell Bachelor’s Honors Thesis. May 2016.
W. Boag, R. Campos, K. Saenko, A. Rumshisky. MUTT: Metric Unit TesTing for Language Generation Tasks. ACL 2016. August, 2016. Berlin, Germany. [repo] [poster]
P. Potash, W. Boag, A. Romanov, V. Ramanishka, A. Rumshisky. Simihawk at Semeval 2016 Task 1: A Deep Ensemble System for Semantic Textual Similairty. The 10th International Workshop on Semantic Evaluation (SemEval-2016). NAACL HLT 2016. June, 2016. San Diego, California. [poster]
W. Boag, P. Potash, A. Rumshisky. TwitterHawk: A Feature Bucket Approach to Sentiment Analysis, In Proceedings of the 9th international workshop on Semantic Evaluation Exercises (SemEval 2015). June 2015, Denver, Colorado, USA. [repo] [poster]
W. Boag, K. Wacome, T. Naumann, A. Rumshisky. CliNER: A Lightweight Tool for Clinical Concept Extraction. AMIA Joint Summits on Clinical Research Informatics (AMIA CRI 2015). San Francisco, CA. [repo] [poster]