activity
20212024
most citedThe 2022 n2c2/UW Shared Task on Extracting Social Determinants of Health

48 citations · 69 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CL20242 cited

Extracting Social Determinants of Health from Pediatric Patient Notes Using Large Language Models: Novel Corpus and Methods

Yujuan Fu, Giridhar Kaushik Ramachandran, Nicholas J Dobbins +7

Social determinants of health (SDoH) play a critical role in shaping health outcomes, particularly in pediatric populations where interventions can have long-term implications. SDo…

cs.CL2024

A Novel Corpus of Annotated Medical Imaging Reports and Information Extraction Results Using BERT-based Language Models

Namu Park, Kevin Lybarger, Giridhar Kaushik Ramachandran +5

Medical imaging is critical to the diagnosis, surveillance, and treatment of many health conditions, including oncological, neurological, cardiovascular, and musculoskeletal disord…

cs.AI20242 cited

Large Language Model Capabilities in Perioperative Risk Prediction and Prognostication

Philip Chung, Christine T Fong, Andrew M Walters +3

We investigate whether general-domain large language models such as GPT-4 Turbo can perform risk stratification and predict post-operative outcome measures using a description of t…

cs.CL20231 cited

Backdoor Adjustment of Confounding by Provenance for Robust Text Classification of Multi-institutional Clinical Notes

Xiruo Ding, Zhecheng Sheng, Meliha Yetişgen +2

Natural Language Processing (NLP) methods have been broadly applied to clinical tasks. Machine learning and deep learning approaches have been used to improve the performance of cl…

cs.CL2023

Prompt-based Extraction of Social Determinants of Health Using Few-shot Learning

Giridhar Kaushik Ramachandran, Yujuan Fu, Bin Han +4

Social determinants of health (SDOH) documented in the electronic health record through unstructured text are increasingly being studied to understand how SDOH impacts patient heal…

cs.CL20233 cited

ACI-BENCH: a Novel Ambient Clinical Intelligence Dataset for Benchmarking Automatic Visit Note Generation

Wen-wai Yim, Yujuan Fu, Asma Ben Abacha +3

Recent immense breakthroughs in generative models such as in GPT4 have precipitated re-imagined ubiquitous usage of these models in all applications. One area that can benefit by i…