Descubrimiento de conocimiento en incidencia de tipo de cáncer para pacientes terminales mediante minería de datos

The objective of this work is to analyze the incidence of the type of cancer and its main manifestations in the terminal stage through data mining. We analyzed 288 data from 22 patients, provided by the Palliative Care Unit of the Hospital Regional 1 de Octubre. The evaluated variables were gender, year, age, diagnosis and symptom. The algorithm J48 corresponding to the algorithm C4.5 was used for the classification. The highest incidence of mortality according to the type of cancer is highlighted: lung, colon, rectum, breast and prostate. As for pain, it is higher in young patients, while in patients aged 65 or less, 39% and only 23% of the rest.