ArticleSultan Qaboos University medical journal2021
Estimate of the HOMA-IR Cut-off Value for Identifying Subjects at Risk of Insulin Resistance Using a Machine Learning Approach.
Article in Sultan Qaboos University medical journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Pistacia atlantica sub. Kurdica can improve insulin resistance in patients with non-alcoholic fatty liver disease: a randomized clinical trial.BMC complementary medicine and therapies · 2026Trial
- Concurrent Aerobic and Strength Training with Caloric Restriction Reduces Insulin Resistance in Obese Premenopausal Women: A Randomized Controlled Trial.Medicina (Kaunas, Lithuania) · 2023Trial
- Changes in selected exerkines concentration post folk-dance training are accompanied by glucose homeostasis and physical performance improvement in older adults.Scientific reports · 2023Trial
- Association between combined oral contraceptive pills and depression in women with polyendocrine metabolic ovarian syndrome (formerly polycystic ovary syndrome): a comparative cross-sectional study.BMC women's health · 2026Article
- Physiological Regulation of Nutritional and Metabolic Biomarkers in Obesity: Implications for Precision Nutrition.Nutrients · 2026Review
- Oxidative stress and insulin resistance in Libyan Down syndrome individuals: assessment and association compared to a healthy comparison group.Pediatric endocrinology, diabetes, and metabolism · 2026Article
- Article
- Cardiovascular risk factors associated with BMI and metabolic health phenotypes based on measures of coagulation factors.International journal of obesity (2005) · 2025Article
- Diagnostic accuracy of various anthropometric indexes for assessing insulin resistance in the Peruvian population: An analytical cross-sectional study.Journal of public health research · 2025Article
- Sleep duration as a mediator in the association between dietary intake of live microbes and insulin resistance: a cross-sectional study.Lipids in health and disease · 2025Article
- A thermogenic botanical composition containingFood & nutrition research · 2025Article
- Evaluating indices of insulin resistance and estimating the prevalence of insulin resistance in a large biobank cohort.Frontiers in endocrinology · 2025Article
- Oral carbohydrate intake before selective laparoscopic liver resection reduces insulin resistance and enhances recovery.American journal of translational research · 2025Article
- A Systematic Review of the Outcomes of Utilization of Artificial Intelligence Within the Healthcare Systems of the Middle East: A Thematic Analysis of Findings.Health science reports · 2024Review
- Using anthropometric parameters to predict insulin resistance among patients without diabetes mellitus.Scientific reports · 2024Article
- Association between Serum Ferritin Levels and Metabolic-associated Fatty Liver Disease in Adults: a Cross-sectional Study Based on the NHANES.Current medical science · 2024Article
- Article
- High dietary intake of unsaturated fatty acids is associated with improved insulin resistance - a cross-sectional study based on the NHANES database.Lipids in health and disease · 2023Article
- Analysis of influencing factors and interaction of body weight and disease outcome in patients with prediabetes.World journal of diabetes · 2023Article
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThis study describes an unsupervised machine learning approach used to estimate the homeostatic model assessment-insulin resistance (HOMA-IR) cut-off for identifying subjects at risk of IR in a given ethnic group based on the clinical data of a representative sample.
methodsThe approach was applied to analyse the clinical data of individuals with Arab ancestors, which was obtained from a family study conducted in Nizwa, Oman, between January 2000 and December 2004. First, HOMA-IR-correlated variables were identified to which a clustering algorithm was applied. Two clusters having the smallest overlap in their HOMA-IR values were retrieved. These clusters represented the samples of two populations, which are insulin-sensitive subjects and individuals at risk of IR. The cut-off value was estimated from intersections of the Gaussian functions, thereby modelling the HOMA-IR distributions of these populations.
resultsA HOMA-IR cut-off value of 1.62 ± 0.06 was identified. The validity of this cut-off was demonstrated by showing the following: 1) that the clinical characteristics of the identified groups matched the published research findings regarding IR; 2) that a strong relationship exists between the segmentations resulting from the proposed cut-off and those resulting from the two-hour glucose cut-off recommended by the World Health Organization for detecting prediabetes. Finally, the method was also able to identify the cut-off values for similar problems (e.g. fasting sugar cut-off for prediabetes).
conclusionThe proposed method defines a HOMA-IR cut-off value for detecting individuals at risk of IR. Such methods can identify high-risk individuals at an early stage, which may prevent or delay the onset of chronic diseases such as type 2 diabetes.
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