Journal of Clinical Medicine Research, ISSN 1918-3003 print, 1918-3011 online, Open Access
Article copyright, the authors; Journal compilation copyright, J Clin Med Res and Elmer Press Inc
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Letter to the Editor

Volume 13, Number 7, July 2021, pages 409-411

Potential Role of Artificial Intelligence for the Previous Study Using Traditional Analysis


Figure 1.
Figure 1. Detailed contributions of variables to the incidence of diabetes. Red and green arrows indicate prediction of the positive and negative incidence of diabetes. a: First degree. b: Second degree. c: Third degree. The space indicates the categories of lower degrees (≥ fourth degree). HDL-C: high-density lipoprotein cholesterol.


Table 1. Variables Contributing to Prediction of the Incidence of Diabetes
Degree of contribution (order)VariablesWeight
All listed variables are those measured at baseline. HDL-C: high-density lipoprotein cholesterol.
1Body mass index (kg/m2)0.033
2Age (years old)0.020
3Systolic blood pressure (mm Hg)0.020
4Serum triglyceride (mg/dL)0.016
5Serum HDL-C (mg/dL, nine categories)0.013
6Smoking (yes or no)0.011
7Sex (men, women)0.011
8History of cardiovascular disease (yes or no)0.005
9Habitual exercise (yes or no)0.004
10Alcohol consumption (daily, sometimes, or almost none)0.004