Breast cancer prediction based on gene expression data using interpretable machine learning techniques.

Breast cancer remains a global health burden, with an increase in deaths related to this particular cancer. Accurately predicting and diagnosing breast cancer is important for treatment development and survival of patients. This study aimed to accurately predict breast cancer using a dataset comprising 1208 observations and 3602 genes.

Investigation of Factors Influencing Infant Mortality at Greater Accra Regional Hospital, Ghana.

Background: Annually, 5.4 million children under five face mortality, with 2.5 million deaths in the first month, 1.