According to the American Cancer Society's forecasts for 2019, there will be about 268,600
new cases in the United States with invasive breast cancer in women, about 62,930 new …

The domain of Machine learning has experienced Substantial advancement and
development. Recently, showcasing a Broad spectrum of uses like Computational …

Breast cancer is one of the deadliest cancers among women worldwide and one of the main
causes of mortality for women in the United States. Breast cancer can be detected earlier …

Background: It is important to be able to predict, for each individual patient, the likelihood of
later metastatic occurrence, because the prediction can guide treatment plans tailored to a …

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 …

Abstract The Clock Drawing Test—a simple pencil and paper test—has been used for more
than 50 years as a screening tool to differentiate normal individuals from those with cognitive …

Motivation: Logistic regression is a standard method for building prediction models for a
binary outcome and has been extended for disease classification with microarray data by …

Classification of gene expression data plays a significant role in prediction and diagnosis of
diseases. Gene expression data has a special characteristic that there is a mismatch in gene …

Abstract Background and Objective In the scientific literature, there is a lack of variable
selection and classification methods considering replicated data. The problem motivating …

Water quality deterioration increases day by day in hilly areas due to increasing tourism
activity, unplanned construction, disposal of solid waste, improper sewage management …