Breast cancer is an all too common disease in women, making how to effectively predict it an
active research problem. A number of statistical and machine learning techniques have …

Classification techniques have widely been applied to cancer survival prediction for
predicting survival or death of patients. However, little attention has been paid to patients …

The use of intelligent techniques in medicine has brought a ray of hope in terms of treating
leukaemia patients. Personalized treatment uses patient's genetic profile to select a mode of …

The objective of this study is to improve prediction outcome of breast cancer patients
employing Machine Learning techniques so to be able to accurately classify between …

Patients' accurate survival predictions can influence treatment planning and costs,
particularly lung cancer, which is one of the leading causes of cancer-related death …

Background: Breast cancer is one of the most common forms of cancers among women and
the leading cause of death among them. Countries like United States, England and Canada …

A number of lethal and toxic synthetic compounds released by industrial operations and by
excessive pesticide application are available in the environment. Such substances primarily …

Abstract In 2019 National Cancer Institute (NCI) in the USA ranked lung and bronchus
cancer as the second diagnosis of cancer types. It is important to mention that only a few …

Medical professionals need a reliable methodology to predict diseases. The process of
Machine Learning is used to identify unknown and useful patterns to assist in important …

Breast cancer is one of the top cancer-death causes and specifically accounts for 10.4% of
all cancer incidences among women. The prediction of breast cancer recurrence has been a …