Department of Radiotherapy and Oncology, Usmanu Danfodiyo University Teaching Hospital, Sokoto State, Nigeria
Research Article
Application of Machine Learning Techniques in Predicting of Breast Cancer Metastases Using Decision Tree Algorithm, in Sokoto Northwestern Nigeria
Author(s): Abdulrahaman A. Musa* and Usman Malami Aliyu
According to international agency for research on cancer, female breast cancer was the leading type of cancer
worldwide in terms of the number of new cases (approximately 2.1 million) diagnosed in 2018.
Predicting outcome of a disease is a challenging task. Data mining techniques tends to simplify the prediction
segment. Automated tools have made it possible to collect large volumes of medical data, which are made available to
the medical research groups. This study aimed to apply machine learning algorithms using decision three classifier
and descriptive statistics to evaluate the performance of the model in predicting the probability of cancer metastasis
in patients that present late.
Materials and method: The breast cancer disease dataset has been taken from the department of Radiotherapy and
Oncology of Usmanu Danfodiyo University.. View more»