Intelligent healthcare recommender system for advanced healthcare services

The introduction of cutting-edge technologies has brought about a lot of changes in the healthcare industry. The application of intelligent recommender systems to improve healthcare services is one of the noteworthy developments. In order to provide cutting-edge healthcare services, the research investigates the architecture, application, and possible effects of an Intelligent Healthcare Recommender System (IHRS). The purpose of IHRS development, its architecture, features, difficulties, and potential are all covered in the paper. It is clear from a thorough review that IHRS has enormous potential to transform healthcare delivery by offering effective and individualized suggestions to healthcare practitioners as well as patients. Recommender systems have drawn a lot of interest recently from a variety of industries, including healthcare. Healthcare providers may find it easier to make wise decisions, improve patient outcomes, and provide higher-quality treatment overall with the help of recommender systems. This paper discusses the applications, difficulties, and potential future directions of recommender systems in the healthcare industry. Research examines various recommender system types utilized in the healthcare industry, including hybrid, content-based, and collaborative filtering methods. The research also goes into the significance of ethical, security, and data privacy concerns in the creation and application of healthcare recommender systems. Lastly, it outlines possible future possibilities for this field’s developments and study.