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Method of preventing Pressure Ulcer and EMR data preprocess

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2022, 27(12), pp.69-76
  • DOI : 10.9708/jksci.2022.27.12.069
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : November 25, 2022
  • Accepted : December 15, 2022
  • Published : December 30, 2022

Dowon Kim 1 Minkyu Kim 2 Kim, yoon 1 Han Seon Sook 1 Jeongwon Heo 1 Hyun-Soo Choi 3

1강원대학교
2(주)지오비전
3서울과학기술대학교

Accredited

ABSTRACT

This paper proposes a method of refining and processing time-series data using Medical Information Mart for Intensive Care (MIMIC-IV) v2.0 data. In addition, the significance of the processing method was validated through a machine learning-based pressure ulcer early warning system using a dataset processed based on the proposed method. The implemented system alerts medical staff in advance 12 and 24 hours before a lesion occurs. In conjunction with the Electronic Medical Record (EMR) system, it informs the medical staff of the risk of a patient's pressure ulcer development in real-time to support a clinical decision, and further, it enables the efficient allocation of medical resources. Among several machine learning models, the GRU model showed the best performance with AUROC of 0.831 for 12 hours and 0.822 for 24 hours.

Citation status

* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.