Pulmonary fibrosis is a chronic progressive lung disease that steadily leads to lung
architecture disruption and respiratory failure. The development of pulmonary fibrosis is …

Autoimmune diseases are chronic, multifactorial conditions. Through machine learning (ML),
a branch of the wider field of artificial intelligence, it is possible to extract patterns within …

Autoimmune diseases are a group of disorders resulting from an alteration of immune
tolerance, characterized by the formation of autoantibodies and the consequent …

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 …

Abstract Machine learning (ML) is a computerized analytical technique that is being
increasingly employed in biomedicine. ML often provides an advantage over explicitly …

Systemic lupus erythematosus is a chronic autoimmune disease that affects the kidney in
most patients. Lupus nephritis (LN) is divided into six categories by the International Society …

Fibrosis can be defined as a pathological process in which deposition of connective tissue
replaces normal parenchyma. The kidney, like any organ or tissue, can be impacted by this …

Because of its simplicity and effectiveness, fuzzy K-nearest neighbors (FKNN) is widely used
in literature. The parameters have an essential impact on the performance of FKNN. Hence …

Background Compilation of different morphological lesion signatures is characteristic of
renal pathology. Previous studies have documented the potential value of artificial …

Objective We carried out a systematic review (SR) of adherence in diagnostic and
prognostic applications of ML in SLE using the Transparent Reporting of a multivariable …