ABSTRACT
In the sphere of healthcare, one such implementation of machine learning algorithms is the “Remote health prediction System utilizing Machine Learning Algorithms.” Medical facilities must enhance so that you can make better decisions about individual screening and therapeutic options Machine learning is used in healthcare to help individual’s process vast amounts of critical treatment material and then analyze it to generate therapeutic insights. This information can then be used by doctors to offer medical care. As a consequence, when deep learning is employed in quality of care, level of satisfaction can be improved. In this project, we want to combine machine learning and artificial intelligence in healthcare into a single solution. Instead of treatment, healthcare might be made smarter by using machine learning predictive algorithms to foretell ailment. Machine Learning Algorithms and other libraries will be used to construct this project. Python is the language of choice because of its large library and ease of use Syntax. In this research, we used multiple classification methods to train Machine Learning models and then picked the optimal model that has excellent accuracy and precision while avoiding the two primary concerns of over fitting and under fitting, resulting in low variance and bias.
