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Clinical, radiological, and radiomics feature-based explainable machine learning models for prediction of neurological deterioration and 90-day outcomes in mild intracerebral hemorrhage

Crossref DOI link: https://doi.org/10.1186/s12880-025-01717-x

Published Online: 2025-05-26

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Zeng, Weixiong

Chen, Jiaying

Shen, Linling

Xia, Genghong

Xie, Jiahui

Zheng, Shuqiong

He, Zilong

Deng, Limei

Guo, Yaya

Yang, Jingjing

Lv, Yijun

Qin, Genggeng

Chen, Weiguo

Yin, Jia

Wu, Qiheng
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (82171929, 82171317)

National Natural Science Foundation of Guangdong Province (2022A1515010477)

President Foundation of Nanfang Hospital, Southern Medical University (2023A007)
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Text and Data Mining valid from 2025-05-26

Version of Record valid from 2025-05-26
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Article History

Received: 4 December 2024

Accepted: 8 May 2025

First Online: 26 May 2025

Declarations

:

: This prospective study has obtained approval from the Medical Ethics Committee of Nanfang Hospital (approval number: NFEC-2022-168). All study protocols and procedures were conducted in accordance with the Declaration of Helsinki.

: Not applicable.

: All participants provided written consent before participating in the study.

: The authors declare no competing interests.

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