The «smartResort» Intelligent System Development for Selecting the Sanatorium Based on Smart Metadata

Abstract

This paper presents the development of an intelligent recommendation system using natural language processing (NLP) and machine learning methods for personalized selection of a treatment program in a health resort institution in the Caucasian Mineral Waters, based on the analysis of medical profiles, service level and price indicators. The method includes processing structured data, ranking objects according to specified criteria and visualizing the results using clustering methods, thereby reducing the time spent on finding a suitable sanatorium by processing a large array of information. This development not only simplifies navigation in choosing a medical institution, but also increases the accuracy of recommendations by eliminating the human factor, minimizing the risks of incorrect selection of therapy, which is critical for effective rehabilitation.