MATHS: Machine Learning Techniques in Healthcare System (original) (raw)

The healthcare industry has been growing with artificial intelligence supporting its back. There is enormous data being collected through IoT devices, and then, the data is stored on the cloud assisted remote servers. The combination of IoT, big data and cloud is proven as to be the key to the revolution of the sector. The large amount of data collected is useless unless it is used to derive important results through the process of Knowledge discovery. Therefore, the data science has infinite potential, and the Data Scientists across enterprises are investing their time and efforts to develop applications that can use machine learning and artificial intelligence to simplify the provision of healthcare resources to the public and help doctors to use the machine learning models in addition to their experience and medical knowledge in diagnosis and treatment. The proposed system is a healthcare management system which can be used by patients to take appointments from doctors, check their prescriptions and for doctors; it provides a support of machine learning to diagnose the diseases and write prescriptions. The datasets of diabetes, heart disease, chronic kidney disease and liver are taken and ML models like decision trees, random forest, logistic regression and Naïve Bayes classifiers are applied on them.The best model suited is used for the prediction of that disease in application.