Using C4.5 Algorithm in Classification of Asthma in Children for Suggesting Best Possible Treatment
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Abstract
Millions of children worldwide suffer from asthma, and finding the best therapy is critical for treating the
disease and improving the quality of life for those afflicted. Data mining is critical for detecting hidden
patterns and trends in massive datasets, such as those used in healthcare. It has been used to identify and treat
disorders including asthma. The C4.5 algorithm is a common decision tree technique that is employed in the
proposed work to build a decision tree for selecting the optimal asthma medication in children. It employs
three primary data mining steps: pre-processing, categorization, and decision tree. Finally, if the dependent
variable matched the provided conditions, the results were gathered using a decision tree. Healthcare
practitioners can make educated judgements by using data mining techniques.
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Article Details
Data Mining, Decision Tree, C4.5 algorithm, Classification
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