At present, healthcare is one of the biggest concerns in the world. Brain Stroke is the leading
cause of death worldwide. Prediction and detection of the occurrences of a brain stroke at …

Abstract In this study, Neural Networks (NN) modelling has emerged as a promising tool for
predicting outcomes in patients with Brain Stroke (BS) by identifying key risk factors. In this …

The main cause of stroke is the unexpected blockage of blood flow to the brain. The brain
cells die if blood is not supplied to them, resulting in body disability. The timely identification …

Heart disease classification results that are inaccurate and have low accuracy can endanger
the patient's life. Some parameters in the algorithm model also have an influence on …

A stroke is caused by damage to blood vessels in the brain. It is one of the major causes of
mortality worldwide. Prediction of brain stroke using clinical attributes is prone to errors and …

A stroke is a critical neurological defect of the brain's blood vessels that occurs when the
blood supply to a portion of the brain struggles or stops depriving brain cells of oxygen. It …

A stroke occurs when there is a sudden interruption of blood flow to a specific area of the
brain. Brain cells perish and lose functionality when deprived of blood flow, depending on …

Several diseases, such as Brain Stroke, are one of the causes of death, one that can be
utilized in disease detection, especially Brain Stroke, is Machine Learning (ML), several …

Today, adequately trained machine learning algorithms can be significantly used in fields
such as surveillance, medicine, and data management to identify and provide solutions to …

Regression analysis, a stalwart in statistical methodology, offers a robust framework for
predicting outcomes based on historical data. It hinges on the premise that by scrutinizing …