Hypertensive nephropathy prediction system and method based on incremental neural network model
A neural network model and technology for hypertensive nephropathy, applied in the field of nephropathy prediction, can solve the problems of poor management effect, low efficiency, and heavy management burden of hypertensive nephropathy
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Embodiment 1
[0094] The hypertensive nephropathy prediction method based on the incremental neural network model provided by the embodiment of the present invention is as follows: figure 1 As shown, as a preferred embodiment, such as image 3As shown, the method for enhancing the acquired original kidney image through the image enhancement program provided by the embodiment of the present invention includes:
[0095] S201. Using the non-local prior algorithm to calculate and process the original kidney image through the image enhancement module to obtain the first fused image.
[0096] S202. Using an automatic color scale algorithm to calculate and process the original kidney image through an image enhancement program to obtain a second fused image.
[0097] S203. Fusion the first fusion image and the second fusion image using the transmittance image as a weight to obtain an enhanced kidney lesion image.
Embodiment 2
[0099] The hypertensive nephropathy prediction method based on the incremental neural network model provided by the embodiment of the present invention is as follows: figure 1 As shown, as a preferred embodiment, such as Figure 4 As shown, the method for screening hypertensive nephropathy by the screening program provided by the embodiment of the present invention includes:
[0100] S301. Construct a hypertensive nephropathy model by using a model building program through the screening module, and obtain personal information of a user to be analyzed; the personal information includes address information and contact information of the user to be analyzed.
[0101] S302, searching for preset inspection center information according to the address information, and sending the found target inspection center information to the user to be analyzed through the contact information, so that the user to be analyzed can complete the inspection at the target inspection center, and obtain ...
Embodiment 3
[0114] The hypertensive nephropathy prediction method based on the incremental neural network model provided by the embodiment of the present invention is as follows: figure 1 As shown, as a preferred embodiment, such as Figure 5 As shown, the method for monitoring and managing hypertensive nephropathy provided by the embodiments of the present invention through a monitoring program includes:
[0115] S401, using big data technology to construct a big data analysis model through the kidney disease supervision module, and acquiring physical condition data of each subject to be screened in the population to be screened.
[0116] S402. Construct the big data analysis model according to the pre-stored International Classification of Diseases code set and sample data; analyze the physical condition data of each subject to be screened according to the pre-stored big data analysis model, and screen out those with high Subjects with hypertensive nephropathy.
[0117] S403. Determin...
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