MULTIVARIATE STATISTICAL ANALYSIS FOR ASSESSMENT OF THE RELATIONSHIPS BETWEEN BONE DENSITY, BIOGENIC ELEMENTS CONTENT, AND THE LEVEL OF OXIDATIVE STRESS IN OSTEOPOROTIC WOMEN

The aim of the present study is to reveal hidden relationships between bone density, biogenic elements content, and level oxidative stress female patients with osteoporosis osteopenia. Additionally, specific links are sought in order interpret different similarity patterns objects (patients) helping a better understanding significance clinical variables for each identified pattern. Material Methods: input dataset consisting 59 11 experimentally determined (clinical parameters) was subject intelligent data analysis including cluster (hierarchical non-hierarchical mode) factor analysis. Results Discussion: In hierarchical dendrogram clustering formed 3 major clusters. We could assume that three factors (impact) linked structure set: descriptors responsible diagnosis; (essential elements) related status; "overall health status impact”. clustered clusters corresponding levels (improving, worsening intermediate) by K-means clustering. defined cluster. Factor shows latent explain nearly 70 % total variance system ˗ them respective meaning. A relationship proven T-score, diagnosis, antioxidant activity 3D plot loadings. Conclusion: multivariate statistical interpretation problems reveals among all or parameters measured. It helps distinguish variations groups determine indicators variability. All this more individual approachesto medical treatment.