Artificial intelligence, machine learning, health care robots, and algorithms for clinical
decision-making are currently being sought after in diverse fields of clinical medicine and …

Background Breast cancer is worldwide the second most common type of cancer after lung
cancer. Traditional mammography and Tissue Microarray has been studied for early cancer …

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 …

Breast cancer is one of the most leading causes of death for women worldwide. According to
statistics published by the International Agency for Research on Cancer (IARC), the …

Breast cancer is a heterogeneous disorder with different molecular subtypes and biological
characteristics for which there are diverse therapeutic approaches and clinical outcomes …

Background One of the major goals in gene and protein expression profiling of cancer is to
identify biomarkers and build classification models for prediction of disease prognosis or …

Machine learning with maximization (support) of separating margin (vector), called support
vector machine (SVM) learning, is a powerful classification tool that has been used for …

The recent advent of"-omics" technologies have heralded a new era of personalized
medicine. Personalized medicine is referred to as the ability to segment heterogeneous …

Breast cancer incidence is increasing worldwide with more than 600,000 deaths reported in
2018 alone. In current practice treatment options for breast cancer patients consists of …

A silent monster, breast cancer, is a challenging medical task for researchers. Breast cancer
is a leading cause of death in women with respect to other cancers. A case of breast cancer …