Introduction. Coronary artery disease (CAD) is one of the main causes of death all over the
world. One way to reduce the mortality rate from CAD is to predict its risk and take effective …

This article presents a systematic mapping study dedicated to conduct a literature review on
machine learning and IoT applied in the identification of diseases through heart sounds …

Accurate prediction of crop yield and dry matter as well as optimized water and nitrogen
management can favor rational decision-making for farming systems. Combining high …

Coronary heart disease (CHD) is a dangerous condition that cannot be completely cured.
Accurate detection of early coronary artery disease can assist physicians in treating patients …

Ischemic Cardiovascular diseases are one of the deadliest diseases in the world. However,
the mortality rate can be significantly reduced if we can detect the disease precisely and …

Background A comprehensive overview of artificial intelligence (AI) for cardiovascular
disease (CVD) prediction and a screening tool of AI models (AI-Ms) for independent external …

Background Machine learning (ML) is pervasive in all fields of research, from automating
tasks to complex decision‐making. However, applications in different specialities are …

In recent years, there has been explosive development in artificial intelligence (AI), which
has been widely applied in the health care field. As a typical AI technology, machine …

Background: With the rising prevalence of diabetes, machine learning (ML) models have
been increasingly used for prediction of diabetes and its complications, due to their ability to …

Accurate prediction of cardiovascular disease (CVD) requires multifaceted information
consisting of not only a patient's medical history, but genomic data, symptoms, lifestyle, and …