Data mining research based on decision tree algorithm taking the patient's condition data of respiratory department in hospital as an example

JianGang Tang; Wenjuan Zhao

doi:10.1117/12.2653701

18 November 2022 Data mining research based on decision tree algorithm taking the patient's condition data of respiratory department in hospital as an example

JianGang Tang, Wenjuan Zhao

Author Affiliations +

Proceedings Volume 12473, Second International Conference on Optics and Communication Technology (ICOCT 2022); 124731F (2022) https://doi.org/10.1117/12.2653701
Event: Second International Conference on Optics and Communication Technology (ICOCT 2022), 2022, Hefei, China

Abstract

This paper proposes a data mining method for information systems based on decision tree algorithm, establishes a more effective data mining model, and improves the accuracy and efficiency of hospital data mining. Based on the C4.5 decision tree algorithm, the model adds methods such as cosine similarity judgment, which reduces resource consumption, greatly improves the accuracy, and takes the clinical diagnosis data of 5 common diseases in respiratory medicine as a sample and obtains more efficient and accurate data results through simulation testing.

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JianGang Tang and Wenjuan Zhao "Data mining research based on decision tree algorithm taking the patient's condition data of respiratory department in hospital as an example", Proc. SPIE 12473, Second International Conference on Optics and Communication Technology (ICOCT 2022), 124731F (18 November 2022); https://doi.org/10.1117/12.2653701

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