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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


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Publicly Available Clinical BERT Embeddings



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

* Clinical Natural Language Processing (ClinicalNLP) Workshop at NAACL 2019 

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Clinically Accurate Chest X-Ray Report Generation



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


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Unsupervised Multimodal Representation Learning across Medical Images and Reports



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

* Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:1811.07216 

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Modeling Mistrust in End-of-Life Care



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


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



Willie Boag , Tristan Naumann , Peter Szolovits


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CliNER 2.0: Accessible and Accurate Clinical Concept Extraction



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


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



Willie Boag , Hassan Kané


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