Articles

There is increasing interest in using big data of real clinical practice to develop artificial intelligence systems for diagnostic and predictive models of diseases and conditions. At the same time, the quality of this data is usually low due to errors during input, suboptimal architecture of information systems, lack of standardization, etc. The review examines criteria for the reliability of real-world data, the most common problems, and ways to eliminate them: assessing the compliance of the ...