A machine learning model for predicting severity-adjusted in-hospital mortality in pneumonia patients.

Journal: Digital health
Published Date: Jun 16, 2025

Abstract

OBJECTIVE: This study aims to develop a customized severity adjustment tool for hospital deaths in pneumonia patients considering characteristics of Korean discharged patients using representative data from the Korea Disease Control and Prevention Agency's Korea National Hospital Discharge In-Depth Injury Survey (KNHDIS).

Authors

  • Jong-Ho Park
    Department of Health and Medical Information, Daegu University, Gyeongsan, Gyeongbuk, Korea.
  • Jihye Lim
    Department of Healthcare Management, Youngsan University, Yangsan 626-790, Korea. limjiart@ysu.ac.kr.

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