Unique clusters of patterns of breast cancer survivorship

This research focused on analyzing and classifying the survival of some breast cancer in-patients in Kwara State, Nigeria. The relationships between some variables that were measured to determine the survival of breast cancer in a cross-sectional study in Nigeria were explored. Data detailing information on gender, age, mode of diagnosis, length of stay, location of breast cancer and the outcome of the treatment on 300 patients admitted based on breast cancer issues were collected at the University of Ilorin Teaching Hospital (UITH), Ilorin, Nigeria between year 2011 and 2016. Descriptive analyses were performed; cluster analysis was performed using k-mean clustering method with the aid of Orange software. Analysis of the cluster is done to reveal the latent patterns that could lead to a better understanding on how some variables could combine to determine the extent of breast cancer survival in Nigeria The scatter plot was used for data visualization while the Silhouette plot showed validates the choice of using only three clusters. Breast cancer survival is associated with the age bracket of the patients. Also, breast cancer survival is dependent on the location of the cancer. In addition, mode of diagnosis was found to be associated with the location of the breast cancer. Furthermore, k-clustering algorithm identified three distinct clusters. The low Silhouette values of obtained in both plots showed that only few clusters are available for this type of data. Louvain clustering revealed the latent patterns that depicts the prevalence of breast cancer in Nigeria.