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 …

Abstract The Global Digital Division remains as a rising focus that has to be brought into the
notice of the United Nations UN. It is about the vast disparity in exposure to the existing …

The increasing ratio of diabetes is found risky across the planet. Therefore, the diagnosis is
important in population with extreme risk of diabetes. In this study, a decision-making …

Aim. Due to the growing availability of genomic datasets, machine learning models have
shown impressive diagnostic potential in identifying emerging and reemerging pathogens …

The grouping of clusters is an important task to perform for the initial stage of clinical
implication and diagnosis of a disease. The researchers performed evaluation work on …

A chronic disease diabetes mellitus is assuming pestilence proportion worldwide. Therefore
prevalence is important in all aspects. Researchers have introduced various methods, but …

Diabetes distress is an alternative disorder that is often associated with depression
syndromes. Psychosocial distress is an alternative disorder that acts as a resistance to …

The aim of research work is towards the prevalence of diabetes mellitus to improve
classification accuracy and cost/benefit predictions on real-life dataset. This paper aims the …

The advanced approach to modeling the logistic regression with fractional polynomials is
applied in place of the traditional linear predictors to group the continuous covariates for the …

The paper aims to develop a regression model using the NKI breast cancer data set. The
methodology used to achieve the objectives includes three variations of regression methods …