Clinical Laboratory Analysis - 2022 - Saberi%E2%80%90Karimian - Data mining approaches for type 2 diabetes mellitus prediction.pdf (849.17 kB)
Data mining approaches for type 2 diabetes mellitus prediction using anthropometric measurements
journal contribution
posted on 2023-06-15, 20:44 authored by Maryan Saberi-Karimian, Amin Mansoori, Gordon FernsGordon FernsBackground The aim of this study was to evaluate the anthropometric measurements most associated with Type 2 Diabetes Mellitus (T2DM) using machine learning approaches. Methods A prospective study was designed for a total population of 9354 (43% men and 57% women) aged 35-65. Anthropometric measurements include weight, height, demispan, Hip Circumference (HC), Mid-arm Circumference (MAC), Waist Circumference (WC), Body Roundness Index (BRI), Body Adiposity Index (BAI), A Body Shape Index (ABSI), Body Mass Index (BMI), Waist-to-height Ratio (WHtR), and Waist-to-hip Ratio (WHR) were completed for all participants. The association was assessed using logistic regression (LR) and decision tree (DT) analysis. Receiver operating characteristic (ROC) curve was performed to evaluate the DT's accuracy, sensitivity, and specificity using R software. Results Traditionlly, 1461 women and 875 men with T2DM (T2DM group). According to the LR, in males, WC and BIA (p-value <0.001) and in females, Demispan and WC (p-value< 0.001) had the highest correlation with T2DM development risk. The DT indicated that WC has the most crucial effect on T2DM development risk, followed by HC, and BAI. Conclusions Our results showed that in both men and women, WC was the most important anthropometric factor to predict T2DM.
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Publication status
- Published
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- Published version
Journal
Journal of Clinical Laboratory AnalysisISSN
0887-8013Publisher
WileyExternal DOI
Issue
1Volume
37Page range
1-10Department affiliated with
- Division of Medical Education Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2022-12-06First Open Access (FOA) Date
2023-01-17First Compliant Deposit (FCD) Date
2022-12-06Usage metrics
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