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Table 4 List of relevant studies on predicting left ventricular dysfunction in T2DM patients

From: T2D-LVDD: neural network-based predictive models for left ventricular diastolic dysfunction in type 2 diabetes

Source

Input features

Output prediction

Participants

Year

Soh, C.H., etc. [41]

energy waveform electrocardiogram

subclinical left ventricular dysfunction

178 + 97

2024

Chee KH, etc. [42]

echocardiographic

left ventricular diastolic dysfunction

301

2021

Yan, Wf., etc. [43]

volume-time curve of cardiac magnetic resonance

left ventricular diastolic function

48

2021

Halabi, A., etc. [44]

36 clinical features

subclinical left ventricular dysfunction

804

2022

Hao, M., etc. [45]

41 clinical features

diastolic cardiac dysfunction

3030

2023

Chen Y, etc. [46]

10 clinical features

left ventricular diastolic function

84

2022