Developing a high-performance AI model for spontaneous intracerebral hemorrhage mortality prediction using machine learning in ICU settings.

Journal: BMC medical informatics and decision making
PMID: 40155935

Abstract

BACKGROUND: Spontaneous intracerebral hemorrhage (SICH) is a devastating condition that significantly contributes to high mortality rates. This study aims to construct a mortality prediction model for patients with SICH using four various artificial intelligence (AI) machine learning algorithms.

Authors

  • Xiao-Han Vivian Yap
    Department of Neurosurgery, Chi Mei Medical Center, Tainan, 710402, Taiwan.
  • Kuan-Chi Tu
    Department of Neurosurgery, Chi Mei Medical Center, Tainan, 710402, Taiwan.
  • Nai-Ching Chen
    Department of Nursing, Chi Mei Medical Center, Tainan, 710402, Taiwan.
  • Che-Chuan Wang
    Department of Neurosurgery, Chi Mei Medical Center, Tainan, 710402, Taiwan.
  • Chia-Jung Chen
    Information Systems, Chi Mei Medical Center, Tainan, Taiwan.
  • Chung-Feng Liu
    Department of Medical Research, Chi Mei Medical Center, 901 Zhonghua Road, Yongkang District, Tainan City, 710, Taiwan.
  • Tee-Tau Eric Nya
    Department of Neurosurgery, Chi Mei Medical Center, Tainan, 710402, Taiwan. ronaldowen@gmail.com.
  • Ching-Lung Kuo
    Department of Neurosurgery, Chi Mei Medical Center, Tainan, 710402, Taiwan. kuojinnrung@gmail.com.

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