732 citations · 1k across the 9 of their papers we have counts for
9 papers
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 +5
When training clinical prediction models from electronic health records (EHRs), a key concern should be a model's ability to sustain performance over time when deployed, even as ca…
Publicly Available Clinical BERT Embeddings
Emily Alsentzer, John R. Murphy, Willie Boag +4
Contextual word embedding models such as ELMo (Peters et al., 2018) and BERT (Devlin et al., 2018) have dramatically improved performance for many natural language processing (NLP)…
Clinically Accurate Chest X-Ray Report Generation
Guanxiong Liu, Tzu-Ming Harry Hsu, Matthew McDermott +4
The automatic generation of radiology reports given medical radiographs has significant potential to operationally and improve clinical patient care. A number of prior works have f…
Unsupervised Multimodal Representation Learning across Medical Images and Reports
Tzu-Ming Harry Hsu, Wei-Hung Weng, Willie Boag +2
Joint embeddings between medical imaging modalities and associated radiology reports have the potential to offer significant benefits to the clinical community, ranging from cross-…
Racial Disparities and Mistrust in End-of-Life Care
Willie Boag, Harini Suresh, Leo Anthony Celi +2
There are established racial disparities in healthcare, including during end-of-life care, when poor communication and trust can lead to suboptimal outcomes for patients and their…
Modeling Mistrust in End-of-Life Care
Willie Boag, Harini Suresh, Leo Anthony Celi +2
In this work, we characterize the doctor-patient relationship using a machine learning-derived trust score. We show that this score has statistically significant racial association…
Towards the Creation of a Large Corpus of Synthetically-Identified Clinical Notes
Willie Boag, Tristan Naumann, Peter Szolovits
Clinical notes often describe the most important aspects of a patient's physiology and are therefore critical to medical research. However, these notes are typically inaccessible t…
CliNER 2.0: Accessible and Accurate Clinical Concept Extraction
Willie Boag, Elena Sergeeva, Saurabh Kulshreshtha +3
Clinical notes often describe important aspects of a patient's stay and are therefore critical to medical research. Clinical concept extraction (CCE) of named entities - such as pr…
AWE-CM Vectors: Augmenting Word Embeddings with a Clinical Metathesaurus
Willie Boag, Hassan Kané
In recent years, word embeddings have been surprisingly effective at capturing intuitive characteristics of the words they represent. These vectors achieve the best results when tr…