Random forest is one of the most used machine learning algorithms since its high predictive
performance. However, many studies criticize it for the fact that it generates a large number …

Random Forest is an ensemble classification approach. It aims to design a discrete finite
group of decision trees constructed based on bootstrap samples and random attribute …

Heart disease has been one of the leading causes of death worldwide in recent years.
Among diagnostic methods for heart disease, angiography is one of the most common …

Prostate cancer is a highly incident malignant cancer among men. Early detection of
prostate cancer is necessary for deciding whether a patient should receive costly and …

ABSTRACT The World Health Organization (WHO) has identified antimicrobial resistance
(AMR) as one of the top three global dangers to public health. One of the most vital factors …

Diabetes mellitus (DM) is a combination of metabolic disorders characterized by elevated
blood glucose levels over a prolonged duration. Undiagnosed DM can give rise to a host of …

In this paper, we propose a new decision forest algorithm that builds a set of highly accurate
decision trees by exploiting the strength of all non-class attributes available in a data set …

Loan evaluation is an effective method for credit risk assessment in peer-to-peer (P2P)
lending and significantly affects lender investment decisions as well as his/her profits …

Inconsistent hand and body features pose barriers to sign language recognition and
translation leading to unsatisfactory models. Existing recognition models are built up on the …

The Internet of Medical Things (IoMT) is a bio-network of associated medical devices, which
is slowly improving the healthcare industry by focusing its abilities on enhancing personal …