Machine learning has various applications and one of them is healthcare.There should be much more advanced medical facilities so as to provide the best possible treatment for the patients[3].Also there are many machine learning algorithms (such as KNN, Random Forest and Decision Tree Classifier algorithms and many more) which were selected and on the given data many algorithms were applied so as to produce the best results.We can say that when machine learning implemented in healthcare can lead to a high increase in patient satisfaction.so this research paper, will try to implement functions of machine learning in health facilities in a particular system[8].Instead of directly performing treatment for the patient, if the disease is predicted beforehand using certain machine learning algorithms then the entire process of treatment can be made much more efficient[12].There are also some cases which occur when early diagnosis of a disease is not performed or carried out.Hence disease prediction is a really important step while treating the patient.As it is said "Prevention is better than cure", the right prediction of disease would definitely lead to an early prevention of that particular disease[19].
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Kriti D. Gandhi (2020) studied this question.
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