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Publication Type : Conference Paper
Publisher : 2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud)
Source : 2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), IEEE, Palladam, India (2019)
Campus : Amritapuri
School : School of Engineering
Department : Electronics and Communication
Year : 2019
Abstract : The objective of this work is to choose the best tool for diagnosis and detection of Hepatitis as well as for the prediction of life expectancy of Hepatitis patients. In this work, a comparative study between various machine learning tools and neural networks were carried out. The performance metric is based on the accuracy rate and the mean square error. The Machine Learning (ML) algorithms such as Support Vector Machines (SVM), K Nearest Neighbor (KNN) and Artificial Neural Network (ANN) were considered as the classification and prediction tools for diagnosing Hepatitis disease. A brief study on the above algorithms were performed based on the prediction accuracy of disease diagnosis. All the ML algorithms were implemented and validated using MATLAB software.
Cite this Research Publication : Vedha Krishna Yarasuri, Gowtham Kishore Indukuri, and Aswathy K. Nair, “Prediction of Hepatitis Disease Using Machine Learning Technique”, in 2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Palladam, India, 2019.