Heart disease predicting method based on Bagging-Fuzzy-GBDT algorithm
A prediction method and heart disease technology, applied in the field of medical data analysis, can solve problems such as blank research, and achieve the effects of avoiding overfitting, improving generalization, and reducing variance
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[0046] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0047] Such as figure 1 Shown, the present invention proposes a kind of heart disease prediction method based on Bagging-Fuzzy-GBDT algorithm, comprises the following steps:
[0048] S1. The open source heart disease data set from UCI is used as the original data, and after preprocessing, it is used as the training set D of the algorithm, with a size of N; preprocessing includes normalizing the open source heart disease data set, deleting outliers and nulls value.
[0049] S2. According to the value range of the attribute in the heart disease data set, attribute A with a relatively large value range change i Take it out, and use the triangular membership function in fuzzy logic to fuzzify it.
[0050] S3. Set the number of times of sampling to be replaced m, sample the training set D for m times, and form a new sub-training set D f...
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