Application Development for Self-Diagnosing of Human Condition

The work is dedicated to the automation of self-diagnosis process. The purpose of this work is to increase the percentage of people who called the doctor in time for the first manifestations of various symptoms. In order to achieve the set goal, the following tasks were solved: review and analysis of analogues and existing methods of medical expert systems creation as well as, creation of the knowledge base, creation of algorithms for selecting the most probable diagnosis and the most appropriate question, development of a mobile application that performs all the tasks, development of the server, conduction of testing and running the application. The work consists of five sections. The first section reviews existing systems for self-diagnosis of a person's condition. In the second section, an analysis is made of the existing methods for creating expert systems. In the third section, an algorithm is developed for the system. In the fourth section, development tools, programming languages ​​and mobile platforms are selected. The fifth section presents the developed application and the first results of the work. The result of the work is the mobile application "Ajdadok". The volume of work was 51 pages. The work uses 19 pictures, 1 table, 19 sources of literature.