Big-data-based bone quality assessment expert system and prediction model establishment method

Abstract

The invention discloses a big-data-based bone quality assessment expert system and a prediction model establishment method. The system is composed of a server, in which a prediction model module, a data acquisition module and a bone expert module are arranged. A database and an intelligent terminal are connected on the server. The database stores user identity data, characteristic data of historical patients with osteoporosis and fractures, and detection data of to-be-predicted patients. The prediction model module establishes an osteoporosis fracture prediction model; and the data acquisitionmodule is used for acquiring prediction requests and detection data of to-be-predicted patients. The osteoporosis fracture prediction model obtains an osteoporosis fracture prediction level based onthe detection data; and the bone expert module outputs prevention advice to each to-be-predicted patient. The big-data-based bone quality assessment expert system has the following beneficial effects:the fracture prediction of the osteoporosis patient is realized; the operation is convenient without queuing up; the system can be operated at any time at any place; and intelligent and convenient effects are realized.

Description

technical field [0001] The invention relates to the field of big data technology, in particular to a big data-based bone quality assessment expert system and a method for establishing a prediction model. Background technique [0002] Osteoporosis is a disease characterized by decreased bone mass and degeneration of bone tissue microstructure, resulting in increased bone fragility, decreased bone strength, and ultimately increased risk of fracture. It has become a threat to the physical and mental health of the elderly. Serious Problem. With the advent of an aging society, the number of patients with osteoporosis has gradually increased, and the corresponding number of osteoporotic fractures has also increased. Osteoporotic fractures and their complications lead to increased mortality, morbidity, teratogenicity, and medical expenses that are increasingly burdening families and society, so the prevention of osteoporotic fractures is particularly important. [0003] At presen...

AI Technical Summary

Problems solved by technology

Therefore, BMD alone cannot fully predict osteoporotic fractures. As a result, many patients at high risk of fractures are not aware of the major hidden dangers to their own life safety, and miss a long time for treatment, eventually resulting in fractures.

[0004] In summary, the prediction of fractures caused by osteoporosis is not only based on bone mineral density, but also includes many internal and external factors. However, in the prior art, there is no prediction standard for reference for unknown patients, and individual differences in patients are relatively large. Large, osteoporotic fracture prediction criteria struggle to convince patients

Images