Methods for identifying medical digital twins and a priori determining the characteristics of patient parameter predictions based on their data

Abstract

Evaluating the characteristics of predicting patient parameters based on medical data is directly related to the quality of identifying medical digital twins, which predetermined both the direction of scientific research and the structure of the proposed article. Special attention is paid to solving the urgent task of improving the accuracy of the forecast by minimizing absolute and relative errors, as well as increasing the reliability of the estimates obtained by increasing the corresponding probability. This approach opens up great prospects for improving the provision of medical care, including in emergency situations.

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