본문 바로가기
  • Home

A Clinical Decision Support Framework Integrating Patient State Analysis and Semantic Interpretation

  • Journal of Internet of Things and Convergence
  • Abbr : JKIOTS
  • 2026, 12(3), 9
  • Publisher : The Korea Internet of Things Society
  • Research Area : Engineering > Computer Science > Internet Information Processing
  • Received : April 11, 2026
  • Accepted : June 19, 2026
  • Published : June 30, 2026

Guijung Kim 1

1백석대학교

Accredited

ABSTRACT

This study presents a framework that organizes patient state analysis results for clinical decision-making. In healthcare environments, various physiological signals and clinical data are continuously collected, yet their use in decision processes remains limited. To address this, the study structures a flow that connects analysis results to interpretation and decision support. Patient states are analyzed based on relationships among multiple indicators and their temporal variations, and similar patterns are grouped to represent state characteristics. The results are then expressed in a clinically understandable form through a semantic interpretation step. In addition, temporal transitions are considered to support a flow-based understanding of patient states. The proposed structure aims to provide information that can support clinical judgment, allowing both current conditions and their progression to be considered. Experimental observations show that state differences and transitions can be identified, suggesting that the results can be organized for practical use.

Citation status

* References for papers published after 2024 are currently being built.