Research on multi-algorithm and explainable AI techniques for predictive modeling of acute spinal cord injury using multimodal data

Research on multi-algorithm and explainable AI techniques for predictive modeling of acute spinal cord injury using multimodal data

Abstract Machine learning technology has been extensively applied in the medical field, particularly in the context of disease prediction and patient rehabilitation assessment. Acute spinal cord injury (ASCI) is a sudden trauma that frequently results in severe neurological deficits and a significan...

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Bibliographic Details
Main Authors: Jiaojiao Tai, Linbang Wang, Yijun Xie, Yang Li, Hua Fu, Xiaowen Ma, Haiyan Li, Xinying Li, Ziqiang Yan, Jingkun Liu
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Machine learning
ASCI
SHAP
Gaussian Naive Bayes
Nomogram
Online Access:https://doi.org/10.1038/s41598-025-93006-4
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https://doi.org/10.1038/s41598-025-93006-4

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