This paper proposes an e-diagnosis system based on machine learning (ML) algorithms to
be implemented on the Internet of Medical Things (IoMT) environment, particularly for …

This comprehensive review explores the pivotal role of ensemble machine learning
techniques in Quantitative Structure-Activity Relationship (QSAR) modeling for drug …

The effect of bad air quality on human health is a well-known risk. Annual health costs have
significantly been increased in many countries due to adverse air quality. Therefore …

Polycystic ovary syndrome (PCOS) is the most frequent endocrinological anomaly in
reproductive women that causes persistent hormonal secretion disruption, leading to the …

Diabetes is a chronic condition characterized by elevated blood glucose levels which leads
to organ dysfunction and an increased risk of premature death. The global prevalence of …

The ecosystem gross primary productivity (GPP) is crucial to land-atmosphere carbon
exchanges, and changes in global GPP as well as its influencing factors have been well …

Aim: Method: This research presents a model combining machine learning (ML) techniques
and eXplainable artificial intelligence (XAI) to predict breast cancer (BC) metastasis and …

Diabetes is one of the quickly spreading chronic diseases causing health complications,
such as diabetes retinopathy, kidney failure, and cardiovascular disease. Recently, machine …

Diabetes is a chronic metabolic disease characterized by hyperglycemia, the follow-up
management of diabetes patients is mostly in the community, but the relationship between …

Background Artificial intelligence and digital health care have substantially advanced to
improve and enhance medical diagnosis and treatment during the prolonged period of the …