Applying artificial intelligence to predict falls for inpatient.

Journal: Frontiers in medicine
Published Date: Nov 20, 2023

Abstract

OBJECTIVE: Falls are adverse events which commonly occur in hospitalized patients. Inpatient falls may cause bruises or contusions and even a fractures or head injuries, which can lead to significant physical and economic burdens for patients and their families. Therefore, it is important to predict the risks involved surrounding hospitalized patients falling in order to better provide medical personnel with effective fall prevention measures.

Authors

  • Ya-Huei Chen
    Department of Nursing, Taichung Veterans General Hospital, Taichung, Taiwan.
  • Jia-Lang Xu
    Big Data Center, National Chung Hsing University, Taichung, Taiwan.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals