Objectives In this systematic review we aimed at assessing how artificial intelligence (AI),
including machine learning (ML) techniques have been deployed to predict, diagnose, and …

Background and objective Aim of nephrologists is to delay the outcome and reduce the
number of patients undergoing renal failure (RF) by applying prevention protocols and …

Background Established prediction models of Diabetic kidney disease (DKD) are limited to
the analysis of clinical research data or general population data and do not consider …

Focus on predictive algorithm and its performance evaluation is extensively covered in most
research studies to determine best or appropriate predictive model with Optimum prediction …

With the rapid development of medicine and technology, machine learning (ML) techniques
are extensively applied to medical informatics and the suboptimal health field to identify …

Background The role of invasive management compared with medical management in
patients with non–ST‐segment–elevation myocardial infarction (NSTEMI) and advanced …

Iridology is a technique in science used to analyze color, patterns, and various other
properties of the iris to assess an individual's general health. Few regions in the iris are …

Introduction: Tofacitinib is an oral, small molecule Janus kinase inhibitor for the treatment of
ulcerative colitis (UC). Outcome prediction based on early treatment response, along with …

Objectives: A kind of Artificial Neural Network (ANN) known as a Back Propagation Neural
Network (BPNN) has been extensively applied in a variety of sectors, including medical …

Background Focus on predictive algorithm and its performance evaluation is extensively
covered in most research studies. Best predictive models offer Optimum prediction solutions …