An Intelligent System for Classifying Patient Complaints Using Machine Learning and Natural Language Processing: Development and Validation Study.

Journal: Journal of medical Internet research
Published Date: Jan 8, 2025

Abstract

BACKGROUND: Accurate classification of patient complaints is crucial for enhancing patient satisfaction management in health care settings. Traditional manual methods for categorizing complaints often lack efficiency and precision. Thus, there is a growing demand for advanced and automated approaches to streamline the classification process.

Authors

  • Xiadong Li
    Department of Radiation Oncology, Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Affiliated Hangzhou Cancer Hospital, Hangzhou, China.
  • Qiang Shu
    Cardiac Surgery,Children's Hospital, Zhejiang University School of Medicine, 310052 Hangzhou, Zhejiang, China.
  • Canhong Kong
    Patient Service Surveillance Office, Medical Information Department, Hangzhou Red Cross Hospital, Hang Zhou, China.
  • Jinhu Wang
    Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center For Child Health, Hang Zhou, China.
  • Gang Li
    The Centre for Cyber Resilience and Trust, Deakin University, Australia.
  • Xin Fang
    School of Information Science and Technology, University of Science and Technology of China, Hefei 230022, China.
  • Xiaomin Lou
    Hangzhou Red Cross Hospital, Hangzhou, Zhejiang, China.
  • Gang Yu
    The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Keywords

External Resources

Popular Topics
Recent Journals