A Review on Early Prediction of Liver Diseases Using Deep Learning

A Review on Early Prediction of Liver Diseases Using Deep Learning

G. SRINAVYATHA 1, G. RISHITHA SUJAYA 2, JENIFER M 3, DR. G. VICTO SUDHA GEORGE 4, DR. FRANCIS JERALD 5

1,2,3 B.Tech-CSE, 4,5 Professor B.Tech-CSE

1 Navyaguduru14@gmail.com

2 Rishithasujaya18@gmail.com

3 Jenifermohan0601@gmail.com

4 victosudhageorge@drmgrdu.ac.in

5 Jerald.ece@drmgrdu.ac.in

1,2,3,4,5 DR. M.G.R EDUCATIONAL RESEARCH INSTITUTE CHENNAI, INDIA

Abstract- Liver disease is a widespread medical condition that impacts a substantial proportion of the world's population. Liver disease can be caused by a number of things, including drinking too much alcohol, being around contaminated or damaged food, using drugs, being exposed to pollutants released by chemical plants, and being obese. Given the liver's crucial function in detoxifying, a diagnosis and recovery from liver disease depend heavily on early identification. The approach that this research suggests uses Convolutional Neural Networks (CNNs) to improve the efficacy and precision of liver disease detection. By facilitating early diagnosis, the suggested system hopes to enhance patient outcomes and enable prompt medical interventions.
Keywords: Deep Learning, Convolutional Neural Networks, Chronic Kidney Disease, Natural Language Processing (NLP), Diabetic nephropathy (DN).