This paper presents an artificial neural network based approach for the diagnosis of
hepatitis virus. The dataset used for this purpose is taken from the UCI machine learning …

Recently, neural networks have become a very important method in the field of medical
diagnostics. The objective of this work is to diagnose hepatitis disease by using different …

The main objective of this research work is to develop an expert system for the diagnosis
and detection of Hepatitis and liver disorders based on various Artificial Neural Networks …

In this paper, we use support vector machine (SVM) and artificial neural networks to
diagnosis hepatitis diseases. Furthermore, we use those networks to identify the type and …

Liver, the largest vital organ in the human body, helps in digestion, energy storage, and toxic
removal processes. Hepatitis A, B, C, fatty liver, cirrhosis, and liver cancer all cause swelling …

Recently, data mining techniques are widely used in the field of bioinformatics to analyze
biomedical data. These techniques have given efficient results in the prediction and …

In this paper, a hybrid method for diagnosing hepatitis diseases is introduced. The proposed
method consists of two stages: the feature selection and the classification. The feature …

In this paper we use self organized fuzzy system to diagnosis and prognosis hepatitis and
thyroid diseases. Moreover, we compare the result of fuzzy Neural Networks with Support …

Liver Diseases account for over 2.4% of Indian deaths per annum.[14] Liver disease is also
difficult to diagnose in the early stages owing to subtle symptoms. Often the symptoms …

Liver is a very essential organ in the human body. It is essential to recognize or diagnose the
disease early. This considerably aids in the early avoidance of disease with minimal …