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
CN110265146AActive Publication Date: 2019-09-20东北大学秦皇岛分校
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
东北大学秦皇岛分校
Publication Date
2019-09-20

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Abstract

The invention discloses a heart disease predicting method based on a Bagging-Fuzzy-GBDT algorithm. The hart disease predicting method comprises the steps of according to characteristics of patient heart disease data, extracting attributes with a large value range change in the data, and fuzzifying the data by means of a fuzzy logic; combining the fuzzified data with a GBDT algorithm, and forming a Fuzzy-GBDT heat disease predicting algorithm; and finally improving data diversity by means of a Bagging algorithm through m times of sampling with replacement, and combining the Bagging algorithm with the Fuzzy-GBDT algorithm for presenting the heart disease predicting algorithm based on the Bagging-Fuzzy-GBDT algorithm. The heart disease predicting method has advantages of reducing variance of the Fuzzy-GBDT predicting algorithm, improving data diversity, preventing over-fitting of a single point, realizing high generalization of the predicting algorithm, and improving accuracy of the predicting algorithm. (4) The heart disease predicting method realizes performance evaluation through an experiment. A result proves a fact that the heart disease predicting algorithm based on the Bagging-Fuzzy-GBDT algorithm has relatively high accuracy and high generalization.
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Description

technical field

[0001] The invention belongs to the technical field of medical data analysis, and in particular relates to a heart disease prediction method based on a Bagging-Fuzzy-GBDT algorithm. Background technique

[0002] The increase in the incidence of chronic diseases has seriously affected people's lives, caused huge economic losses, and seriously hindered the development of national medical and health services. The high morbidity and high mortality of heart disease among chronic diseases must be paid close attention to. According to the statistics of the World Health Organization, one-third of the world's population dies of heart disease. At present, my country's population is aging seriously, and the number of people suffering from heart disease is gradually increasing. Although most heart diseases cannot be completely cured, we can provide health guidance and intervention before the onset of disease through disease prediction algorithms based on real-time healt...

Claims

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