(Climacteric[TA])
2,572 results
  • Identification and importance analysis of osteoporosis risk factors in perimenopausal women based on the Transformer-LSTM hybrid model and SMOTE. [Journal Article]
    Climacteric. 2026 Jul 29; :1-20. [Online ahead of print]Hu HX, Wang W, Liang HMC
  • CONCLUSIONS: This study provides a scientific basis and quantitative reference for the early identification, prevention, clinical assessment and health management of osteoporosis. The significant performance improvements of the proposed model (3.76-19.0% across key metrics) validate its superiority in capturing complex feature correlations and identifying minority class samples, addressing the core challenges of imbalanced clinical data and limited feature mining capability of traditional models. The identification of core risk factors and their quantitative importance not only enhances the interpretability of machine learning-based osteoporosis risk assessment but also enables targeted screening and personalized intervention for perimenopausal women, which is of great significance for improving the early diagnosis rate of osteoporosis and reducing the social and economic burden of related fractures.
  • Menopause and epigenetic changes: a review. [Review]
    Climacteric. 2026 Jul 15; :1-6. [Online ahead of print]Özdemir BG, Çelik ÇC
  • Menopause is the biological process that occurs with the end of the menstrual cycle, not only involving hormonal changes but also leading to significant epigenetic transformations at the genomic level. Alterations in estrogen, progesterone and androgen levels positively or negatively influence epigenetic mechanisms such as DNA methylation, histone modifications, genome methylation and microRNA ex…