• Sanket Muchhala
• Shreeram Geedh
• Hardik Sodhani

Abstract: Healthcare is a vast field in which computer technology is steadily being incorporated into various technologies, mainly Machine Learning algorithms and hospital-generated datasets. Supervised Machine Learning algorithms are Vindication in the healthcare industry. With the help of this project, we will detect the disease at the earliest stage and apply the necessary treatment. We are testing the accuracy of various models using the given dataset. To our knowledge, in large-scale medical data analysis, no prior work has addressed both types of data. Our proposed algorithm is more accurate with 94.8% calculation accuracy and faster convergence speed than other typical estimation algorithms as compared to CNN-based unimodal disease prediction.

ML, disease, prediciton, healthcare

"Disease Prediction using ML", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 11, page no.a444-a448, November-2021, Available :http://www.jetir.org/papers/JETIR2111058.pdf

"Disease Prediction using ML", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 11, page no. ppa444-a448, November-2021, Available at : http://www.jetir.org/papers/JETIR2111058.pdf