activity
20212023
most citedA Study of Generative Large Language Model for Medical Research and Healthcare

400 citations · 555 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2023

Developing A Fair Individualized Polysocial Risk Score (iPsRS) for Identifying Increased Social Risk of Hospitalizations in Patients with Type 2 Diabetes (T2D)

Yu Huang, Jingchuan Guo, William T Donahoo +7

Background: Racial and ethnic minority groups and individuals facing social disadvantages, which often stem from their social determinants of health (SDoH), bear a disproportionate…

stat.AP2023★ 1 cited

The impact of electronic health records (EHR) data continuity on prediction model fairness and racial-ethnic disparities

Yu Huang, Jingchuan Guo, Zhaoyi Chen +6

Electronic health records (EHR) data have considerable variability in data completeness across sites and patients. Lack of "EHR data-continuity" or "EHR data-discontinuity", define…

cs.CL2023★ 400 cited

A Study of Generative Large Language Model for Medical Research and Healthcare

Cheng Peng, Xi Yang, Aokun Chen +16

There is enormous enthusiasm and concerns in using large language models (LLMs) in healthcare, yet current assumptions are all based on general-purpose LLMs such as ChatGPT. This s…

cs.CL2022★ 53 cited

GatorTron: A Large Clinical Language Model to Unlock Patient Information from Unstructured Electronic Health Records

Xi Yang, Aokun Chen, Nima PourNejatian +15

There is an increasing interest in developing artificial intelligence (AI) systems to process and interpret electronic health records (EHRs). Natural language processing (NLP) powe…

cs.CY2021★ 101 cited

Applications of artificial intelligence in drug development using real-world data

Zhaoyi Chen, Xiong Liu, William Hogan +2

The US Food and Drug Administration (FDA) has been actively promoting the use of real-world data (RWD) in drug development. RWD can generate important real-world evidence reflectin…