• Nagireddi Surya Kala
• G L Narasamba Vanguri
• Juvvala Sailaja

Stagnated water is the root cause of the outbreak of Water-borne and Vector-borne diseases. During floods excess water is stagnant over time. Due to this stagnant water, food and water is contaminated. Individuals who consume the contaminated water can contract Hepatitis A. Predicting the occurrence of Hepatitis A disease involves analyzing various risk factors and medical data to identify individuals or populations that are more likely to contract the disease . Communicable diseases need to be diagnosed in the early stages to save the lives of victims. This paper focuses on prediction of Hepatitis A, a communicable disease using Machine Learning and Deep Learning Models. Random Forest, Multilayer Perceptron and Probabilistic Neural networks models are used to analyze the hepatitis data set for disease prediction. Multilayer Perceptron model shows better performance when compared to other models.

Flood water, Waterborne, Vector-borne, Multilayer Perceptron, Probabilistic Neural Networks, Random Forest

"PREDICTION OF HEPATITIS A DISEASE USING MACHINE LEARNING TECHNIQUES ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 7, page no.c618-c623, July-2023, Available :http://www.jetir.org/papers/JETIR2307269.pdf

"PREDICTION OF HEPATITIS A DISEASE USING MACHINE LEARNING TECHNIQUES ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 7, page no. ppc618-c623, July-2023, Available at : http://www.jetir.org/papers/JETIR2307269.pdf