• Ms. P. Yaswanthi
• Mr. V. V. Nagendra Kumar

The requirement for health information is altering knowledge-seeking behavior, which should be noted globally. Many of us struggle with finding health information online about illnesses, diagnoses, and various treatments. It will save a lot of time if a suggestion system is frequently used for physicians and medications. Because the users of a system like this are laypeople, the user has several difficulties understanding the basic medical terminology. The customer is perplexed since there is an excessive amount of medical information available in various formats. A method called Disease Prediction using Machine Learning forecasts the disease based on the data the user provides. Additionally, it accurately forecasts the user's or the patient's disease based on the data or symptoms entered into the system and returns findings accordingly. If the customer simply wants to know the type of ailment the patient has experienced and the condition is not particularly significant.

Random Forest Algorithm, Naive Bayes, Support Vector Machine, Logistic regression etc

" Machine Learning Based Disease Prediction from User Symptoms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 7, page no.g197-g201, July-2023, Available :http://www.jetir.org/papers/JETIR2307632.pdf

" Machine Learning Based Disease Prediction from User Symptoms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 7, page no. ppg197-g201, July-2023, Available at : http://www.jetir.org/papers/JETIR2307632.pdf