Classification Prediction Model Research based on Decision Tree and Application in Thrombolysis Treatment Options

Jing WANG, Zhi-gang ZHANG

Abstract


Through the analysis of samples of classification prediction in thrombolysis treatment options set from a military hospital, this paper compares the advantages and disadvantages and the applicability of ID3, C4.5 and CART algorithm, and introduces an improved decision tree algorithm which reduces the complexity of the calculation.

Keywords


Data Mining, Decision Tree, classification prediction, thrombolysis treatment options


DOI
10.12783/dtcse/cst2017/12509

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