Interpretable machine learning for cognitive impairment assessment: integration of clinical and radiomic white matter hyperintensities features

Abstract Background White matter hyperintensities (WMH) are recognized as important imaging biomarkers associated with cognitive impairment. This study aimed to develop a machine learning model that combines clinical data and WMH radiomic features for improving the assessment of cognitive impairment...

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Үндсэн зохиолчид:	Mengchen Wang, Tianci Wang, Xiaoxiao Wang, Chun Liu, Frankliu Gao, Bensheng Qiu, Tao Guo, Yu Huang
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	BMC 2026-02-01
Цуврал:	Journal of Translational Medicine
Нөхцлүүд:	White matter hyperintensities Radiomics Clinical data Machine learning Cognitive impairment
Онлайн хандалт:	https://doi.org/10.1186/s12967-026-07843-6
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!