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| Acadêmico(a): Alan Michel Leicht |
| Título: PROTÓTIPO DE UMA FERRAMENTA PARA IDENTIFICAR PADRÕES NOS TRATAMENTOS CLÍNICOS |
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| Abstract: |
| This work presents the development of a prototype of a tool for data mining on a database with hospital records to detect patterns in clinical treatments. In a more detailed way, the objective is to implement the C4.5 algorithm to perform the data mining and to demonstrate the decision tree prediction through a graphical interface with visual and interactive resources for clinical analysis. The data mining process was performed using the decision tree technique implemented with the algorithm C4.5. The decision tree generated appear in two formats, so that the doctor can have an overview of all factors that may be related to the diagnosis of a particular disease, and another view only with the factors answered in the clinical evaluation, represented only reality of a patient. |
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