In recent years, COVID‐19 has been regarded as the most dangerous pandemic for several
countries. On various social media platforms, such as Twitter, Facebook, and Instagram, a …

Chronic liver disease (CLD) is a major health concern for millions of people all over the
globe. Early prediction and identification are critical for taking appropriate action at the …

The liver is the largest organ of the human body with more than 500 vital functions. In recent
decades, a large number of liver patients have been reported with diseases such as …

Purpose Liver disease causes two million deaths annually, accounting for 4% of all deaths
globally. Prediction or early detection of the disease via machine learning algorithms on …

Liver disease and Parkinson's disease are two of the major and the common chronic
diseases that affect millions of people around the world. Although early detection of these …

This study proposes a thorough methodology for improving the precision and dependability
of liver disease prediction utilising cutting-edge methods. The study uses demographic …

Fuzzy logic plays a pivotal role in predicting diseases within the field of medical science and
has brought about a paradigm shift in disease prediction methodologies, addressing the …

Liver is one among the crucial organs of a human body. If the liver's normal functioning is
compromised it leads to liver disease. The way people live today has completely changed …

This work proposed an Interpolative Ensemble Stacker hybrid algorithm named Random
Forest Classifier and Logistic Regression in the prediction and detection of liver disease …

There has been a surge in interest in developing accurate and efficient illness prediction
models to help in early diagnosis and treatment planning in recent years. Despite …