The human liver is one of the major organs in the body and liver disease can cause many
problems in human life. Fast and accurate prediction of liver disease allows early and …

Early detection of liver disease is never easy, though it is one of the most important diseases
on earth. This study, thus, attempts to achieve efficient early detection through a Multilayer …

The utilization of medicinal datasets has pulled in the consideration of specialists around the
world. Machine Learning methods have been broadly utilized as a part of creating choice …

This paper, entails the various Lazy classifiers such as IBKLG, LocalKnn algorithm,
RseslibKnn algorithm used for diagnosis of the liver cancer. The results have been noted in …

Introduction: Liver disease is one of the most common and dangerous diseases the early
detection of which can be very effective in preventing complications as well as controlling …

The diagnoses a patient receives can have significant repercussions for enhancing patient
safety, investigation, and policymaking. Medical practitioners employ a variety of pathologic …

Liver diseases represent a major health burden worldwide. Machine learning (ML)
algorithms have been extensively used to diagnose liver disease. This study accordingly …

The main aim of this paper is to comprehend, gain insight of the current trends in application
of big data in healthcare, and to identify the various potential healthcare horizons. A brief …

Liver disease stands out as a prominent cause of mortality in India according to the World
Health Organization, as well as on a global scale. The field of machine learning has …

Liver cirrhosis disease is an important cause of death worldwide. Therefore, early diagnosis
of the disease is very important. Machine learning algorithms are frequently used due to its …