ArticleFrontiers in oncology2022
Osteoporosis, fracture and survival: Application of machine learning in breast cancer prediction models.
Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Artificial intelligence in breast cancer survival prediction: a comprehensive systematic review and meta-analysis.Frontiers in oncology · 2024Pooled it
- An explainable machine learning model for predicting one-year osteoporosis risk: development and validation in a prospective cohort.BMC musculoskeletal disorders · 2026Article
- A Comparative Evaluation of Three Time-to-Event Models Predicting 5-Year Osteoporosis Risk in Thyroid Cancer Survivors: A Nationwide Cohort Study.Endocrinology and metabolism (Seoul, Korea) · 2026Article
- Prediction Model for Low Bone Mineral Density in Cancer Survivors and Age-Matched Controls Using a Causal Bayesian Network: A Nationwide Population-Based Study in Korea.Clinical Medicine Insights. Oncology · 2026Article
- Perioperative machine learning models with SHAP interpretation for predicting adverse outcomes in breast cancer surgery.Frontiers in surgery · 2026Article
- Machine learning models to predict osteoporosis in patients with chronic kidney disease stage 3-5 and end-stage kidney disease.Scientific reports · 2025Article
- Externally validated and clinically useful machine learning algorithms to support patient-related decision-making in oncology: a scoping review.BMC medical research methodology · 2025Article
- Discriminatory Accuracy of Fracture Risk Assessment Tool in Asian Populations: A Systematic Review and Meta-Analysis.Journal of bone metabolism · 2024Article
- Results of the Italian cross-sectional web-based survey "Nutrition and breast cancer, what would you like to know?" An attempt to collect and respond to patients' information needs, through social media.Frontiers in oncology · 2024Article
- Applications of Artificial Intelligence Methods for the Prediction of Osteoporotic Fractures.Life (Basel, Switzerland) · 2023Article
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13 authors.
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Abstract
The risk of osteoporosis in breast cancer patients is higher than that in healthy populations. The fracture and death rates increase after patients are diagnosed with osteoporosis. We aimed to develop machine learning-based models to predict the risk of osteoporosis as well as the relative fracture occurrence and prognosis. We selected 749 breast cancer patients from two independent Chinese centers and applied six different methods of machine learning to develop osteoporosis, fracture and survival risk assessment models. The performance of the models was compared with that of current models, such as FRAX, OSTA and TNM, by applying ROC, DCA curve analysis, and the calculation of accuracy and sensitivity in both internal and independent external cohorts. Three models were developed. The XGB model demonstrated the best discriminatory performance among the models. Internal and external validation revealed that the AUCs of the osteoporosis model were 0.86 and 0.87, compared with the FRAX model (0.84 and 0.72)/OSTA model (0.77 and 0.66), respectively. The fracture model had high AUCs in the internal and external cohorts of 0.93 and 0.92, which were higher than those of the FRAX model (0.89 and 0.86). The survival model was also assessed and showed high reliability
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