Data Sheet 1_An interpretable machine learning model for predicting myocardial injury in patients with high cervical spinal cord injury.xlsx

Data Sheet 1_An interpretable machine learning model for predicting myocardial injury in patients with high cervical spinal cord injury.xlsx

Background<p>High cervical spinal cord injury (HCSCI) is associated with severe autonomic dysfunction and an increased risk of cardiovascular complications, including myocardial injury. However, early identification of myocardial injury remains challenging because of the lack of predictive too...

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Bibliografische gegevens
Hoofdauteur: Jiaqi Li (220961) (author)
Andere auteurs: Bingyu Zhang (205976) (author), Ye Liao (9438107) (author), Liqin Wei (2889914) (author), Qinfeng Huang (138721) (author), Lijun Lin (289688) (author), Jiaxin Chen (1761877) (author), Hui Chen (28597) (author)
Gepubliceerd in: 2025
Onderwerpen:
Genetics
high cervical spinal cord injury
myocardial injury
machine learning
neural network
SHAP
risk prediction
interpretable artificial intelligence
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