DISEASE PREDICTION AND DRUG RECOMMENDATION SYSTEM USING MACHINE LEARNING

DISEASE PREDICTION AND DRUG RECOMMENDATION SYSTEM USING MACHINE LEARNING

Nikitha.V1, L.Pallavi2,K.Sharan Kumar3,M.Akhay Raj4 , G.Prasanna Kumar5

1,2,3,4B.Tech. Student, Department of Computer Science and Engineering,

nikkynikitha18@gmail.com, pallavireddylattupally@gmail.com,kattakittu333@gmail.com, akshayrajmargam@gmail.com, prassannakumar.cse@nmrec.edu.in

5Assistant Professor, Department of Computer Science and Engineering,

Nalla Malla Reddy Engineering College, Hyderabad, India

Abstract: Medical decisions could be extremely specialized and difficult jobs due to alternative factors or in case of rare diseases. This problem is complex due to the large amount of data required to make accurate predictions, the complexity of disease development, and the variability between patients is difficult. And it is a very time consuming process. Additionally, there is a need to ensure that patient data is protected and used ethically, while also providing actionable insights for healthcare providers. Our proposed system is developed using python. This website is developed to help the doctors, patients to identify the disease.  To reduce the large number of variables and find the most probable diseases by using the Random Forest, decision trees, SVM algorithms.  And  this system recommends the drug based on the  factors we provide such as age, gender, bp etc. It is not only useful for doctors but also for the people who want to predict their disease.

Keywords: disease prediction, SVM, Random Forest, drug recomendation