78 citations · 209 across the 15 of their papers we have counts for
7 papers · 1 filter
Ontology-Driven Self-Supervision for Adverse Childhood Experiences Identification Using Social Media Datasets
Jinge Wu, Rowena Smith, Honghan Wu
Adverse Childhood Experiences (ACEs) are defined as a collection of highly stressful, and potentially traumatic, events or circumstances that occur throughout childhood and/or adol…
Adverse Childhood Experiences Identification from Clinical Notes with Ontologies and NLP
Jinge Wu, Rowena Smith, Honghan Wu
Adverse Childhood Experiences (ACEs) are defined as a collection of highly stressful, and potentially traumatic, events or circumstances that occur throughout childhood and/or adol…
Quantifying Health Inequalities Induced by Data and AI Models
Honghan Wu, Minhong Wang, Aneeta Sylolypavan +1
AI technologies are being increasingly tested and applied in critical environments including healthcare. Without an effective way to detect and mitigate AI induced inequalities, AI…
Ontology-Driven and Weakly Supervised Rare Disease Identification from Clinical Notes
Hang Dong, Víctor Suárez-Paniagua, Huayu Zhang +7
Computational text phenotyping is the practice of identifying patients with certain disorders and traits from clinical notes. Rare diseases are challenging to be identified due to…
Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations
Qingyu Chen, Alexis Allot, Robert Leaman +35
The COVID-19 pandemic has been severely impacting global society since December 2019. Massive research has been undertaken to understand the characteristics of the virus and design…
Automated Clinical Coding: What, Why, and Where We Are?
Hang Dong, Matúš Falis, William Whiteley +5
Clinical coding is the task of transforming medical information in a patient's health records into structured codes so that they can be used for statistical analysis. This is a cog…
A Unified Review of Deep Learning for Automated Medical Coding
Shaoxiong Ji, Wei Sun, Xiaobo Li +6
Automated medical coding, an essential task for healthcare operation and delivery, makes unstructured data manageable by predicting medical codes from clinical documents. Recent ad…