Modern medical care produces large volumes of multimodal patient data, which many
clinicians struggle to process and synthesize into actionable knowledge. In recent years …

Machine learning (ML) utilizes artificial intelligence to generate predictive models efficiently
and more effectively than conventional methods through detection of hidden patterns within …

Supervised machine learning algorithms have been a dominant method in the data mining
field. Disease prediction using health data has recently shown a potential application area …

Liver Disease (LD) is the main cause of death worldwide, affecting a large number of
people. A variety of factors affect the liver, resulting in this disease. The diagnosis of this …

Background and objective Fatty liver disease (FLD) is a common clinical complication; it is
associated with high morbidity and mortality. However, an early prediction of FLD patients …

One of the biggest challenges of utilizing artificial intelligence (AI) in medicine is that
physicians are reluctant to trust and adopt something that they do not fully understand and …

Purpose The advent of clinically adapted machine learning algorithms can solve numerous
problems ranging from disease diagnosis and prognosis to therapy recommendations. This …

Modern medical care produces large volumes of multimodal patient data, which many
clinicians struggle to process and synthesize into actionable knowledge. In recent years …

Objectives We aimed to review the literature regarding the use of machine learning to
predict chronic diseases. Study design This was a systematic review. Methods The searches …

Transition to chronic kidney disease (CKD) after an episode of acute kidney injury (AKI) is
known in patients without cirrhosis. We studied the incidence and risk factors for …