Using A New Statistical Metric to Classify of Osteoporosis Diseases in the Erbil City

Abstract

Osteoporosis is characterized by weak, fragile, sponge-like bones because the body can no longer produce new bone as rapidly as it eliminates old bone. A fall or even a minor stressor, such as coughing, can cause bones to break due to increased brittleness. This typically affects the hip, wrist, or spine. This study explores the use of measurement distance between two variables to assess their Likeness or difference. The primary is comprinig between three methodes of distance the first one is the Euclidean distance, The second is the Pearson correlation distance., and a new proposed is the distance Weighted Correlation, which is depended on minimum distances is the third one. The Data assembled for this research were Komari Hospital and the Media Laboratory between 1/12/2024 and 1/3/2025, encompassing 150 female cases. It means that the lowest value was achieved between years of menopause and weight. This indicates that the proposed method outperforms the Pearson correlation distance calculation method.