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

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.