12 citations · 17 across the 4 of their papers we have counts for
5 papers
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…
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…
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…
Fusing Visual, Textual and Connectivity Clues for Studying Mental Health
Amir Hossein Yazdavar, Mohammad Saeid Mahdavinejad, Goonmeet Bajaj +5
With ubiquity of social media platforms, millions of people are sharing their online persona by expressing their thoughts, moods, emotions, feelings, and even their daily struggles…
Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media
Amir Hossein Yazdavar, Hussein S. Al-Olimat, Monireh Ebrahimi +5
With the rise of social media, millions of people are routinely expressing their moods, feelings, and daily struggles with mental health issues on social media platforms like Twitt…