Using Artificial Intelligence for the Early Detection of Micro-Progression of Pressure Injuries in Hospitalized Patients: A Preliminary Nursing Perspective Evaluation

Shu Chen Wu, Yu Chuan Jack Li, Hsiao Ling Chen, Mei Ling Ku, Yen Chen Yu, Phung Anh Nguyen, Chih Wei Huang

研究成果: 書貢獻/報告類型會議貢獻

摘要

This study established a predictive model for the early detection of micro-progression of pressure injuries (PIs) from the perspective of nurses. An easy and programing-free artificial intelligence modeling tool with professional evaluation capability and it performed independently by nurses was used for this purpose. In the preliminary evaluation, the model achieved an accuracy of 89%. It can bring positive benefits to clinical care. Only the overfitting issue and image subtraction method remain to be addressed.
原文英語
主出版物標題MEDINFO 2021
主出版物子標題One World, One Health - Global Partnership for Digital Innovation - Proceedings of the 18th World Congress on Medical and Health Informatics
編輯Paula Otero, Philip Scott, Susan Z. Martin, Elaine Huesing
發行者IOS Press BV
頁面1016-1017
頁數2
ISBN(電子)9781643682648
DOIs
出版狀態已發佈 - 6月 6 2022
事件18th World Congress on Medical and Health Informatics: One World, One Health - Global Partnership for Digital Innovation, MEDINFO 2021 - Virtual, Online
持續時間: 10月 2 202110月 4 2021

出版系列

名字Studies in Health Technology and Informatics
290
ISSN(列印)0926-9630
ISSN(電子)1879-8365

會議

會議18th World Congress on Medical and Health Informatics: One World, One Health - Global Partnership for Digital Innovation, MEDINFO 2021
城市Virtual, Online
期間10/2/2110/4/21

ASJC Scopus subject areas

  • 生物醫學工程
  • 健康資訊學
  • 健康資訊管理

指紋

深入研究「Using Artificial Intelligence for the Early Detection of Micro-Progression of Pressure Injuries in Hospitalized Patients: A Preliminary Nursing Perspective Evaluation」主題。共同形成了獨特的指紋。

引用此