Abstract
This paper presents a study related to the development of logical expert systems using artificial intelligence on the example of diagnosing leukemia. For the development of the system, various approaches to the design of artificial intelligence systems and medical data used in the diagnosis of leukemia were applied. A distinctive feature of the expert system is that a specialist working with the knowledge base can not only get the answer he needs, but also get access to all the knowledge from the knowledge base by asking the necessary questions to the expert system. The methods are based on obtaining information about the characteristics of the software using specialized software that provides automation. Data sets and logical rules that were used for the initial diagnosis of the disease were identified. In developing and analyzing software requirements, a prototype system was developed. This system includes a perceptron and consists of 3 hidden layers. For software development was used programming languages Python, JavaScript and Prolog.
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