Correlation Analysis and Application of Respiratory and Lung Diseases in Pediatrics of Traditional Chinese Medicine Based on Factor Analysis Method

Author:

Sun Shengnan1,Zhuang Lingling1ORCID,Cao Ming1

Affiliation:

1. Traditional Chinese Medicine Academy of Science of Jilin Province, Changchun Jilin 130021, China

Abstract

Many scholars have studied the influencing factors of children’s lung infection, whether it is the region or the environment, or the living air quality of the mother during pregnancy. Western medicine is the most frequently used medicine, but Chinese medicine has more remarkable characteristics in treating children’s lung diseases. For viral invasive diseases, people often use antibiotics to treat them. Children’s lung conditions are too fragile, and taking antibiotics will lead to the damage of Staphylococcus in the lungs, resulting in pulmonary respiratory insufficiency. Although the conditioning time of traditional Chinese medicine is longer than that of western medicine, traditional Chinese medicine will not cause secondary damage to the lungs. In this paper, we introduce factor analysis and principal component analysis and compare the performance of the three analysis methods by using data such as cure rate, improvement rate, mortality rate, and drug taking frequency as evaluation indexes. In the model comparison, the accuracy rate of factor analysis method is over 97%, while the error rate is below 5%. Compared with the other two analysis methods, this method has a better application effect. Finally, we compare the comprehensive scores of eigenvalues of the three analysis methods. From 2016 to 2021, the comprehensive scores of factor analysis gradually increased.

Publisher

Hindawi Limited

Subject

Applied Mathematics,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Modeling and Simulation,General Medicine

Reference25 articles.

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5. Use of antibiotics in staphylococcal destruction of the lungs in children;N. L. Kushch;Sovetskaia Meditsina,1971

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