activity
20172023
most citedPublicly Available Clinical BERT Embeddings

732 citations · 952 across the 10 of their papers we have counts for

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7 papers · 1 filter

cs.LG202018 cited

CheXpert++: Approximating the CheXpert labeler for Speed,Differentiability, and Probabilistic Output

Matthew B. A. McDermott, Tzu Ming Harry Hsu, Wei-Hung Weng +2

It is often infeasible or impossible to obtain ground truth labels for medical data. To circumvent this, one may build rule-based or other expert-knowledge driven labelers to inges…

cs.LG2019

Representation Learning for Electronic Health Records

Wei-Hung Weng, Peter Szolovits

Information in electronic health records (EHR), such as clinical narratives, examination reports, lab measurements, demographics, and other patient encounter entries, can be transf…

cs.LG2019

Machine Learning for Clinical Predictive Analytics

Wei-Hung Weng

In this chapter, we provide a brief overview of applying machine learning techniques for clinical prediction tasks. We begin with a quick introduction to the concepts of machine le…

cs.LG2018

Predicting Blood Pressure Response to Fluid Bolus Therapy Using Attention-Based Neural Networks for Clinical Interpretability

Uma M. Girkar, Ryo Uchimido, Li-wei H. Lehman +3

Determining whether hypotensive patients in intensive care units (ICUs) should receive fluid bolus therapy (FBT) has been an extremely challenging task for intensive care physician…

cs.LG2018

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-…

cs.LG2018

Mapping Unparalleled Clinical Professional and Consumer Languages with Embedding Alignment

Wei-Hung Weng, Peter Szolovits

Mapping and translating professional but arcane clinical jargons to consumer language is essential to improve the patient-clinician communication. Researchers have used the existin…