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

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Publication Details

Journal
BMC Medical Imaging
Published
2025-05-26
DOI
https://doi.org/10.1186/s12880-025-01717-x
Citations
2
Primary Topic
Intracerebral and Subarachnoid Hemorrhage Research
Type
article
Field-Weighted Citation Impact
2.78

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article

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

Qiheng Wu, Genggeng Qin, Jingjing Yang, Genghong Xia et al.
2 citations
BMC Medical Imaging
Intracerebral and Subarachnoid Hemorrhage Research
2.78
article

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

Qiheng Wu, Genggeng Qin, Jingjing Yang, Genghong Xia, Shuqiong Zheng, Yan Guo, Weixiong Zeng, Limei Deng, Jiaying Chen, Jia Yin, Zilong He, Weiguo Chen, Y. Lv, Linling Shen, Jiahui Xie
article en
2 citations

Abstract

No abstract available for this paper.
BMC Medical ImagingVol. 25(1)
Nanfang Hospital (CN), Southern Medical University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Guangdong Province, Southern Medical University, Nanfang Hospital
Openalex Percentile: Top 10%
Intracerebral and Subarachnoid Hemorrhage Research
2.78
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