Objectives The Indian Liver Patient Dataset (ILPD) is used extensively to create algorithms
that predict liver disease. Given the existing research describing demographic inequities in …

Disease prediction from diagnostic reports and pathological images using artificial
intelligence (AI) and machine learning (ML) is one of the fastest emerging applications in …

Machine learning has been highly recommended in medical sector for diagnosis of several
diseases and for effective decision making due to its performance. With recent years, there is …

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 …

WebShell is a common network backdoor attack that is characterized by high concealment
and great harm. However, conventional WebShell detection methods can no longer cope …

The work presented in the paper is a continuation of the work done by the authors in the field
of Artificial Intelligence (AI) & Soft-Computing. The authors had made some contribution in …

This paper works on detecting a person in bed for sleep routine and sleep pattern
monitoring based on the Micro-Electro-Mechanical Systems (MEMS) accelerometer and …

Liver is the most noticeable and metabolically active organs in the human body. Damage to
this organ might result in liver failure and a loss of life. The early detection of liver infection is …

This paper proposes a model to detect liver cancer patients and estimate the abnormality
level of livers using a classification method based on an Indian liver patient dataset. The …

Because of causes including excessive alcohol use, breathing toxic fumes, and ingesting
tainted food, pickles, and medications, liver illnesses are growing more and more dangerous …