The extensive adoption of computer-based technology in the health-care industry has resulted in the accumulation of electronic data. Due to vast amounts of data, medical specialists are having problems efficiently analysing symptoms and recognising diseases at an early stage. Supervised machine learning (ML) algorithms, on the other hand, have showed potential in outperforming traditional sickness diagnosis methods and enabling doctors in the early detection of high-risk conditions. Through the evaluation of performance indicators, the goal of this paper is to recognise trends across various types of supervised ML models in disease prediction. Django is used to create a disease prediction system based on the best accuracy model.
₹10000 (INR)
NON IEEE -2022