Collection

Health Natural Language Processing

Submission status
Closed
Natural Language Processing (NLP) technologies have received significant attention in the medical domain and have demonstrated numerous successful uses in healthcare applications. Recently, deep learning models, especially transformer-based architectures, have become state-of-the-art for many clinical NLP tasks. There is an increasing interest in applying NLP methods to fill the gap of using clinical narratives in healthcare applications. The goal of this special issue is to gather original research works contributing to NLP over health data such as clinical notes, social media, and biomedical literature. This special issue welcomes original research work from the research community contributing to health NLP methods, tools, and applications.

Editors

  • Yonghui Wu, PhD Yonghui Wu, PhD  &

    Yonghui Wu, PhD

    Assistant Professor, College of Medicine, Department of Health Outcomes & Biomedical Informatics, University of Florida, Gainesville, FL, US. Email: Yonghui.wu@ufl.edu

  • Hua Xu, PhD Hua Xu, PhD

    Hua Xu, PhD

    Professor, School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, US. Email: Hua.Xu@uth.tmc.edu

Articles (9 in this collection)