The purpose of this review is to assess the evidence of healthcare benefits involving the
application of artificial neural networks to the clinical functions of diagnosis, prognosis and …

Simple Summary With the advancement of artificial intelligence, including machine learning,
the field of oncology has seen promising results in cancer detection and classification …

Supervised machine learning algorithms have been a dominant method in the data mining
field. Disease prediction using health data has recently shown a potential application area …

Machine learning is a branch of artificial intelligence that employs a variety of statistical,
probabilistic and optimization techniques that allows computers to “learn” from past …

OBJECTIVE:: The prediction of breast cancer survivability has been a challenging research
problem for many researchers. Since the early dates of the related research, much …

Feature selection is one of the crucial data preprocessing techniques for improving the
performance of machine learning (ML) models. Recently, metaheuristic feature selection …

Breast cancer is one of the leading causes of death among women worldwide. Accurate and
early detection of breast cancer can ensure long-term surviving for the patients. However …

One of the most prevalent and leading causes of cancer in women is breast cancer. It has
now become a frequent health problem, and its prevalence has recently increased. The …

Objective Many machine learning models have aided medical specialists in diagnosis and
prognosis for breast cancer. Accuracy has been regarded as a primary measurement for the …

Abstract Breast Cancer Diagnosis and Prognosis are two medical applications pose a great
challenge to the researchers. The use of machine learning and data mining techniques has …