Data-driven Healthcare Management

DOI: 10.33917/es-6.198.2024.98-103

Preserving the population and strengthening its health is impossible without introducing new methods of healthcare management, including personalized monitoring, express diagnostics based on machine learning, mathematical and statistical methods of big data analysis, in particular construction of explanatory and predictive models based on strong artificial intelligence. The author provides an assessment of data (morbidity and mortality by causes of death) characterizing the health status of the population, which are freely available on the Internet information and telecommunications network.

The article concludes that it is advisable to apply the correlation analysis method to medical statistical data, since identification of new patterns allows to optimize approaches to early diagnosis and prevention of diseases, and therefore makes a positive contribution to improving the health of the population.

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