Machine Learning Algorithms for Disease Prediction Analysis

People suffer from a wide variety of diseases due to their environment and lifestyle factors. As a result, early disease prediction becomes critical. On the other hand, making a diagnosis solely on symptoms is too difficult for a doctor. The most difficult challenge is predicting disease accurately. In order to solve this problem, data mining is considered as an important and effective method for disease prediction. Data mining reveals hidden pattern information from massive amounts of medical data derived from disease data. To aid in early diagnosis and treatment, this research work presents a disease prediction prototype to identify potential illnesses based on their symptoms. It reduces the time required to complete the patient’s full diagnosis; additionally, the system’s recommendations can be used to determine the disease. attempts to accurately predict a disease by using machine learning techniques. The proposed system produces results that are up to 87% accurate. This method has enormous potential for more accurately predicting potential diseases. The primary goal of this study is to help nontechnical people and young doctors to make accurate opinions about the disease.