This paper is published in Volume-6, Issue-3, 2020
Area
Engineering
Author
Samhitha Vishwanath, Ankita K., Ajay S., Annay Maity, Aruna Kumara B.
Org/Univ
Reva University, Bengaluru, Karnataka, India
Pub. Date
12 June, 2020
Paper ID
V6I3-1509
Publisher
Keywords
Naive Bayes Algorithm, Liver Disease, Python Programming

Citationsacebook

IEEE
Samhitha Vishwanath, Ankita K., Ajay S., Annay Maity, Aruna Kumara B.. Prediction and diagnosis of liver disease, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Samhitha Vishwanath, Ankita K., Ajay S., Annay Maity, Aruna Kumara B. (2020). Prediction and diagnosis of liver disease. International Journal of Advance Research, Ideas and Innovations in Technology, 6(3) www.IJARIIT.com.

MLA
Samhitha Vishwanath, Ankita K., Ajay S., Annay Maity, Aruna Kumara B.. "Prediction and diagnosis of liver disease." International Journal of Advance Research, Ideas and Innovations in Technology 6.3 (2020). www.IJARIIT.com.

Abstract

India having a population of approx.1.3 Billion is the second most populated county in the world and each year millions are diagnosed with liver diseases. Some types of liver diseases are Jaundice, Hepatitis (A, B, C), Fatty Liver Diseases (FLD). These are caused due to consumption of alcohol, contaminated food, obesity, etc. For a common man, it is not practical to diagnose these diseases thus we need a system that is reliable and can predict the symptoms of liver disease. This system predicts liver disease using the patients' data and the Naïve Bayes algorithm.
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