Machine Learning Analysis of Retrospective Data From 503 Hospitalized Older Patients With Type 2 Diabetes to Identify Factors Associated With Cognitive Impairment

Mingzhu Yu; Jianfeng Zhang; Haigeng Chen; Guiyue Li

doi:10.12659/MSM.949864

10 January 2026 : Laboratory Research

Machine Learning Analysis of Retrospective Data From 503 Hospitalized Older Patients With Type 2 Diabetes to Identify Factors Associated With Cognitive Impairment

Mingzhu Yu^{ABCDEFG 1,2*}, Jianfeng Zhang^{A 1}, Haigeng Chen^{A 3}, Guiyue Li^{A 4}

DOI: 10.12659/MSM.949864

Med Sci Monit 2026; 32:e949864

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Figure 6 Forest plot of odds ratios for MCI risk factors (logistic regression). MCI – mild cognitive impairment; OR – odds ratio; CI – confidence interval; BMI – body mass index; HbA1c – glycated hemoglobin; CRP – C-reactive protein. (Figure created using R software, version 3.6.3; package: forestplot).

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Machine Learning Analysis of Retrospective Data From 503 Hospitalized Older Patients With Type 2 Diabetes to Identify Factors Associated With Cognitive Impairment

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