Support Vector Machine for Stratification of Cognitive Impairment Using 3D T1WI in Patients with Type 2 Diabetes Mellitus

The SVM model based on MRI radiomics exhibits high efficacy in the diagnosis of cognitive dysfunction and evaluation of its severity among patients with T2DM.

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Publication Details

Journal
Diabetes Metabolic Syndrome and Obesity
Published
2025-02-01
DOI
https://doi.org/10.2147/dmso.s480317
Primary Topic
Brain Tumor Detection and Classification
Type
article
Field-Weighted Citation Impact
0.00

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article

Support Vector Machine for Stratification of Cognitive Impairment Using 3D T1WI in Patients with Type 2 Diabetes Mellitus

Zhigao Xu, Milan Cao, Guojiang Zhang, Lili Zhao et al.
Diabetes Metabolic Syndrome and Obesity
Brain Tumor Detection and Classification
article

Support Vector Machine for Stratification of Cognitive Impairment Using 3D T1WI in Patients with Type 2 Diabetes Mellitus

Zhigao Xu, Milan Cao, Guojiang Zhang, Lili Zhao, Yan Liu, Xiaohui Liu, Lei Yin, Feng Long Gu
article en

Abstract

The SVM model based on MRI radiomics exhibits high efficacy in the diagnosis of cognitive dysfunction and evaluation of its severity among patients with T2DM.

Diabetes Metabolic Syndrome and ObesityVol. Volume 18
Changzhi Medical College (CN), The Third People's Hospital of Dalian City (CN)
Health Commission of Shanxi Province
Openalex Percentile: Top 97%
Brain Tumor Detection and Classification
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