Prediction of Readmission in Geriatric Patients From Clinical Notes: Retrospective Text Mining Study.

Journal: Journal of medical Internet research
Published Date: Oct 19, 2021

Abstract

BACKGROUND: Prior literature suggests that psychosocial factors adversely impact health and health care utilization outcomes. However, psychosocial factors are typically not captured by the structured data in electronic medical records (EMRs) but are rather recorded as free text in different types of clinical notes.

Authors

  • Kim Huat Goh
    Division of Leadership, Management and Organisation, College of Business, Nanyang Business School, Nanyang Technological University.
  • Le Wang
    Brainnetome Center & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China; CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
  • Adrian Yong Kwang Yeow
    School of Business, Singapore University of Social Sciences, Singapore, Singapore.
  • Yew Yoong Ding
    Tan Tock Seng Hospital, Singapore, Singapore.
  • Lydia Shu Yi Au
    Ng Teng Fong General Hospital, Singapore, Singapore.
  • Hermione Mei Niang Poh
    Medical Informatics, National University Health System, Singapore, Singapore.
  • Ke Li
    School of Ideological and Political Education, Shanghai Maritime University, Shanghai, China.
  • Joannas Jie Lin Yeow
    Group Medical Informatics Office, National University Health System, Singapore, Singapore.
  • Gamaliel Yu Heng Tan
    Group Medical Informatics Office, National University Health System, Singapore, Singapore.

Keywords

External Resources

Popular Topics
Recent Journals