“…In addition to traditional risk factors such as older age, estrogen, vitamin D, and hormone use, among others [ 6 ], dietary structure and electrolyte disorders may also be important risk factors for the onset of an abnormal primary bone mineral density, especially based on the dietary structure of the American population [ 7 ]. Moreover, several algorithm models [ 8 ] have been widely used in the prevention and treatment of bone mineral density abnormalities, for example, Neural network analysis [ 9 , 10 ] can reveal important risk factors related to bone mineral density abnormalities. It simulates the neural network system of the human brain for structural operation, and information processing is achieved by adjusting the network of several internal nodes.But the widely used algorithm currently includes alcohol drinking, age, smoking, parents’ fracture history, height difference (≥4 cm), use of glucocorticoids and other drugs, endocrine diseases, milk, premature menopause history, gender, fracture history, body mass index (BMI), and other conventional risk factors in the study [ 11 ].…”