activity
20192024
most citedA Study of Social and Behavioral Determinants of Health in Lung Cancer Patients Using Transformers-based Natural Language Processing Models

38 citations · 122 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2024★ 31 cited

Extracting Social Support and Social Isolation Information from Clinical Psychiatry Notes: Comparing a Rule-based NLP System and a Large Language Model

Braja Gopal Patra, Lauren A. Lepow, Praneet Kasi Reddy Jagadeesh Kumar +16

Background: Social support (SS) and social isolation (SI) are social determinants of health (SDOH) associated with psychiatric outcomes. In electronic health records (EHRs), indivi…

cs.CL2022★ 33 cited

SODA: A Natural Language Processing Package to Extract Social Determinants of Health for Cancer Studies

Zehao Yu, Xi Yang, Chong Dang +12

Objective: We aim to develop an open-source natural language processing (NLP) package, SODA (i.e., SOcial DeterminAnts), with pre-trained transformer models to extract social deter…

cs.CL2022★ 3 cited

AD-BERT: Using Pre-trained contextualized embeddings to Predict the Progression from Mild Cognitive Impairment to Alzheimer's Disease

Chengsheng Mao, Jie Xu, Luke Rasmussen +9

Objective: We develop a deep learning framework based on the pre-trained Bidirectional Encoder Representations from Transformers (BERT) model using unstructured clinical notes from…

cs.CL2021★ 38 cited

A Study of Social and Behavioral Determinants of Health in Lung Cancer Patients Using Transformers-based Natural Language Processing Models

Zehao Yu, Xi Yang, Chong Dang +8

Social and behavioral determinants of health (SBDoH) have important roles in shaping people's health. In clinical research studies, especially comparative effectiveness studies, fa…

cs.CL2019★ 12 cited

Evaluating the Portability of an NLP System for Processing Echocardiograms: A Retrospective, Multi-site Observational Study

Prakash Adekkanattu, Guoqian Jiang, Yuan Luo +14

While natural language processing (NLP) of unstructured clinical narratives holds the potential for patient care and clinical research, portability of NLP approaches across multipl…

cs.LG2019★ 5 cited

Identifying Sub-Phenotypes of Acute Kidney Injury using Structured and Unstructured Electronic Health Record Data with Memory Networks

Zhenxing Xu, Jingyuan Chou, Xi Sheryl Zhang +10

Acute Kidney Injury (AKI) is a common clinical syndrome characterized by the rapid loss of kidney excretory function, which aggravates the clinical severity of other diseases in a…