Clustering is a set of essential mathematical techniques in artificial intelligence and machine
learning for analyzing massive amounts of data generated by applications. Clustering uses …

Association rule mining (ARM) is one of the core techniques of data mining to discover
potentially valuable association relationships from mixed datasets. In the current research …

The classification problem is an important research topic in machine learning and data
mining. Feature selection can remove irrelevant and redundant features and improve …

Background and objective Diabetes is a life-threatening chronic disease with a growing
global prevalence, necessitating early diagnosis and treatment to prevent severe …

Background and objective As a common chronic disease, diabetes is called the “second
killer” among modern diseases. Currently, there is no medical cure for diabetes. We can only …

Objective By optimizing the extreme learning machine network with particle swarm
optimization, we established a syndrome classification and prediction model for primary liver …

Diabetes mellitus is one of the deadliest and chronic diseases that affect persons who have
an increase in their blood glucose levels. Type 1 Diabetes Mellitus “T1DM” is considered …

Diabetic retinopathy (DR) is one of the most important microvascular complications
associated with diabetes mellitus. The early signs of DR are microaneurysms, which can …

In today's data-driven digital culture, there is a critical demand for optimized solutions that
essentially reduce operating expenses while attempting to increase productivity. The …

Pancreatic cancer is the fourth leading cause of cancer-related death worldwide. Pancreatic
tumours are characterised by a peculiar cell progression in intestinal enzymes and hormone …