activity
20172022
most citedCharacterization of Time-variant and Time-invariant Assessment of Suicidality on Reddit using C-SSRS

40 citations · 137 across the 11 of their papers we have counts for

collaborators

11 papers

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.SI2021★ 40 cited

Characterization of Time-variant and Time-invariant Assessment of Suicidality on Reddit using C-SSRS

Manas Gaur, Vamsi Aribandi, Amanuel Alambo +5

Suicide is the 10th leading cause of death in the U.S (1999-2019). However, predicting when someone will attempt suicide has been nearly impossible. In the modern world, many indiv…

cs.SI2020★ 1 cited

Comparing Suicide Risk Insights derived from Clinical and Social Media data

Rohith K. Thiruvalluru, Manas Gaur, Krishnaprasad Thirunarayan +2

Suicide is the 10th leading cause of death in the US and the 2nd leading cause of death among teenagers. Clinical and psychosocial factors contribute to suicide risk (SRFs), althou…

cs.CY2020★ 3 cited

A Machine Learning Approach to Detect Suicidal Ideation in US Veterans Based on Acoustic and Linguistic Features of Speech

Vaibhav Sourirajan, Anas Belouali, Mary Ann Dutton +2

Preventing Veteran suicide is a national priority. The US Department of Veterans Affairs (VA) collects, analyzes, and publishes data to inform suicide prevention strategies. Curren…