Machine Learning in medical sites and healthcare
The various ways in which machine learning is being used in medical websites, the benefits of this technology, and the challenges associated with its implementation are explored.
Abstract
Machine Learning is a technique through which computer learns by using the data provided from the user and getting experience from it and then using that experience to predict new things on its own. Machine learning has revolutionized the field of healthcare in recent years, and one area where it has found extensive application is in medical websites. Medical websites are essential resources for healthcare providers and patients, providing up-to-date information on medical conditions, treatments, and healthcare services. By incorporating machine learning algorithms into medical websites, healthcare providers can improve patient outcomes by enhancing the accuracy of diagnosis, optimizing treatment, and reducing the risk of medical errors. Machine Learning uses features like image processing, text recognition to scan reports and give summary of the report to the people. It also helps in predicting stages of diseases by scanning reports like X-Ray scans etc. and analyzing it. In this paper, we will explore the various ways in which machine learning is being used in medical websites, the benefits of this technology, and the challenges associated with its implementation.