Abstract: People presently suffer from several of diseases as a result of their lifestyle and the surroundings. As a result, being able to predict illness at an early stage is critical. Doctors, on the other side, find it difficult to make specific estimates based on symptoms. For accurate disease prediction, existing systems use the KNN and CNN machine learning algorithms. Illness symptom collection is essential for disease prediction. Existing system gives lots of time to execute as well as it does not gives accurate results. Because of this we propose our system by using CNN algorithm for better accuracy and to reduce time execution.
Keywords: CNN, KNN, disease prediction, data processing, machine learning.
|
DOI:
10.17148/IJARCCE.2022.116134
