An Intelligent System for Generating End-User Symptom Recommendations Based on Machine Learning Technology

The purpose of the study is to develop an intelligent system with the ability to work with the symptoms of users, through which one could obtain sufficiently complete information about the choice and purchase of medicines. The main objectives of the study: 1. To analyze known literary sources, subject area of pharmacy, known algorithms for medicine selection and intellectual formation of recommendations. 2. Carry out a systematic analysis of the object of study, using preliminary means of structural and object notation. 3. To build a comparative description of possible software alternatives of the developing intelligent system, separately highlighting the disadvantages and advantages, as well as user feedback. Use the analyzed data to further build the intelligent design system. Describe many requirements, including technological requirements, for the system under study, algorithms and technological processes for processing information. 4. Using the previously analyzed data and the designed system, to select and justify methods and tools for the subsequent realization of the solution of the previously set task. 5. Write a software tool to automate the processes of solving the tasks set when performing this work. Give a reference example of the use of the developed software to confirm the performance of the system.