Oncological Analysis Using Data Mining

Data mining is a technique that involves the application of specific algorithms, which generate a list of patterns based on large volumes of information that is useful for decision making in wide fields of application, as detection of patterns in diseases. This paper proposes to carry out a cancer analysis by means of data mining techniques, applied on a sample of 3365 cases, using association algorithms as Apriori and J48 classification algorithm. The data were obtained from clinical reports of patients from the Palliative Care Unit of the Hospital Regional 1o de Octubre. Once the data mining process was completed, it was possible to identify some of the most relevant types of cancer, age as characteristic factor in the emergence of diseases, as well as the sex affected. Keyword: Data mining, cancer, apriori, J48 classification algorithms.