Modeling method for diabetic complication prediction model
A technology of prediction model and modeling method, which is applied in medical simulation, medical data mining, health index calculation and other directions to achieve the effect of improving prediction effect, reducing morbidity and assisting diagnosis and treatment
Pending Publication Date: 2020-11-20
NANTONG UNIVERSITY +1
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According to clinical data, nearly 35% of patients suffer from more or less one or more complications of diabetes ten years after the onset of diabetes, and such complications are difficult to cure with drugs
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[0015] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative efforts fall within the protection scope of the present invention.
[0016] This embodiment provides a modeling method of a diabetes complication prediction model, such as figure 1 As shown, it includes the following steps: S10 data collection, collecting hospital diabetes complication data, and after integration, corresponding the unique patient number with the complication data one by one. S20 data processing, preprocessing the complication data to obtain modeling data, the data preprocessing includes removing null values, normalization, miss...
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The invention provides a modeling method for a diabetic complication prediction model. The method comprises the following steps: S10, data collection: collecting diabetic complication data of a hospital; S20, data processing: preprocessing complication data to obtain modeling data; S30, acquisition of feature data: carrying out discretization processing on the modeling data by utilizing SPSS software to obtain the feature data; and S40, model construction: training a machine learning model by using 70% of the feature data, and testing the machine learning model by using 30% of the feature datato obtain the diabetic complication prediction model. According to the modeling method of the diabetic complication prediction model in the invention, the diabetic complication prediction model is established by using a large amount of existing electronic medical record data of domestic diabetic patients, so the prediction effect of complications of the domestic diabetic patients can be improved;and when the diabetic complication prediction model is applied to diabetic complication prediction, appropriate measures can be taken for high-risk groups and doctors are assisted in diagnosis and treatment.
Description
technical field [0001] The invention relates to the technical field of diabetes complication prediction, in particular to a modeling method of a diabetes complication prediction model. Background technique [0002] Diabetes mellitus is a lifelong metabolic disease, and chronic hyperglycemia is its main feature. Diabetes is caused by a variety of etiologies. When the human body's blood sugar is too high for a long time, the blood vessels of the human body will be damaged or even endanger the heart, kidneys, eyes, feet and brain. According to the investigation of the World Health Organization, there are more than 100 complications of diabetes. One of the most complicated of all known diseases. Among the patients who died of diabetes, more than half died of cardiovascular and cerebrovascular diseases, and nearly 10% died of diabetic nephropathy. According to clinical data, nearly 35% of patients suffer from more or less one or more complications of diabetes ten years after t...
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IPC IPC(8): G16H50/50G16H50/30G16H50/70
CPCG16H50/50G16H50/30G16H50/70
Inventor 王理白鹤鸣潘文洁杨永杰张远鹏
Owner NANTONG UNIVERSITY