Data mining and machine learning techniques are transforming the decision-making
process in the medical world. From using nomograms and expert advice, scientists are now …

Purpose The aim of this study was to assess the potential of machine learning with
multiparametric magnetic resonance imaging (mpMRI) for the early prediction of …

Cancer early detection increases the chances of survival. Some cancer types, like
pancreatic cancer, are challenging to diagnose or detect early, and the stages have a fast …

Over the past two decades, machine learning has been gaining significant attention for
solving complex engineering problems. Genetic programing (GP) is an advanced framework …

Background Comprehensive breast cancer risk prediction models enable identifying and
targeting women at high-risk, while reducing interventions in those at low-risk. Breast cancer …

Background: Frailty is one of the most critical age-related conditions in older adults. It is often
recognized as a syndrome of physiological decline in late life, characterized by a marked …

This study applied advanced machine learning techniques, widely considered as the most
successful method to produce objective to an inferential problem of recurrent cervical …

Data analytics play vital roles in diagnosis and treatment in the health care sector. To enable
practitioner decision-making, huge volumes of data should be processed with machine …

PURPOSE Pancreatic cancer is an aggressive malignancy with patients often experiencing
nonspecific symptoms before diagnosis. This study evaluates a machine learning approach …

Objective: Despite existing prognostic markers, breast cancer prognosis remains a difficult
subject due to the complex relationships between many contributing factors and survival …