Method and device for determining bone fracture risk of diabetes patient
A diabetes and patient technology, applied in biological neural network model, health index calculation, medical automatic diagnosis, etc., can solve the problem of poor prediction effect of fracture risk in diabetic patients, underestimation of fracture risk in type 2 diabetes, and inability to predict fracture risk well and other problems to achieve a good prediction effect
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[0031] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.
[0032] figure 1 It is a schematic flowchart corresponding to a method for determining the fracture risk of a diabetic patient provided by an embodiment of the present invention, and the method includes:
[0033] Step 101, acquiring sampling data of target diabetic patients.
[0034] In the embodiment of the present invention, there are many ways to acquire the sampled data of the target diabetic patient. In a possible implementation...
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