Abstract:

Today, many companies (such as e-commerce stores) need to collect, store and process data. The processing and analysis of data is also crucial in the medical sector. Treatment, diagnosis, and monitoring processes of patients are increasingly relying on advanced information technologies. IT companies offering solutions for collecting, storing, and processing data are therefore gaining popularity. These companies often offer ‘custom-made’ databases that are adapted to the specificity and needs of the company. For example, the traditional SQL (Structured Query Language) database approach is applicable to more centralised and structured databases. However, a modern NoSQL (nonrelational SQL) solution that allows data storage to be stored unstructured can be useful if clients need to analyse large amounts of data quickly. This article attempts to develop a database system for a company that deals with disease diagnosis using algorithms of widely understood artificial intelligence. Our aim was to create an effective and safe environment for the storage, processing, and analysis of medical data that takes into account the needs of the client.