ArticleAnnals of translational medicine2021
Bone metabolic biomarker-based diagnosis of type 2 diabetes osteoporosis by support vector machine.
Article in Annals of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed, 18 citations in OpenAlex.
- Osteoporosis in Patients with Pre-Existing Diabetes Mellitus and in Women with Estrogen Deficiency: A Molecular and Cellular Perspective.International journal of molecular sciences · 2026Review
- Role of microRNA in Diabetic Osteoporosis.Molecular biotechnology · 2025Review
- Utilizing combined quantitative multiparametric MRI as potential biomarkers for improved early-stage parkinson's disease diagnosis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025Article
- Multidimensional dietary assessment and interpretable machine learning models predict the risk of prediabetes/diabetes and osteoporosis comorbidity in older adults.Frontiers in nutrition · 2025Article
- Assessment of fracture risk in diabetic patients.Journal of diabetes and metabolic disorders · 2024Review
- Application of machine learning algorithms to predict osteoporosis in postmenopausal women with type 2 diabetes mellitus.Journal of endocrinological investigation · 2023Article
- Association of Bone Turnover Markers with Type 2 Diabetes Mellitus and Microvascular Complications: A Matched Case-Control Study.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023Article
- Development of Machine Learning Models for Predicting Osteoporosis in Patients with Type 2 Diabetes Mellitus-A Preliminary Study.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023Article
- Prediction of the Risk of Bone Mineral Density Decrease in Type 2 Diabetes Mellitus Patients Based on Traditional Multivariate Logistic Regression and Machine Learning: A Preliminary Study.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023Article
- Efficacy Analysis of Team-Based Nursing Compliance in Young and Middle-Aged Diabetes Mellitus Patients Based on Random Forest Algorithm and Logistic Regression.Computational and mathematical methods in medicine · 2022Article
- Identifying Depression in Parkinson's Disease by Using Combined Diffusion Tensor Imaging and Support Vector Machine.Frontiers in neurology · 2022Article
- Identification of Type 2 Diabetes Based on a Ten-Gene Biomarker Prediction Model Constructed Using a Support Vector Machine Algorithm.BioMed research international · 2022Article
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Authors and funding
13 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDiabetes has significant effects on bone metabolism. Both type 1 and type 2 diabetes can cause osteoporotic fracture. However, it remains challenging to diagnose osteoporosis in type 2 diabetes by bone mineral density which lacks regular changes. Seen another way, osteoporosis can be ascribed to the imbalance of bone metabolism, which is closely related to diabetes as well.
methodsHere, to assist clinicians in diagnosing osteoporosis in type 2 diabetes, an efficient and simple SVM (support vector machine) model was established based on different combinations of biochemical indexes, which were collected from patients who did the test of bone turn-over markers (BTMs) from January 2016 to March 2018 in the department of endocrine, Zhongda Hospital affiliated to Southeast University. The classification was done based on a software package of machine learning in Python. The classification performance was measured by SKLearn program incorporated in the Python software package and compared with the clinical diagnostic results.
resultsThe predicting accuracy rate of final model was above 88%, with feature combination of sex, age, BMI (body mass index), TP1NP (total procollagen I N-terminal propeptide) and OSTEOC (osteocalcin).
conclusionsExperimental results show that the model showed an anticipant result for early detection and daily monitoring on type 2 diabetic osteoporosis.
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