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Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
[HEALTH PROGNOSIS ISSUES TAKING INTO ACCOUNT AGE AND REGIONAL CHARACTERISTICS]
1Research Institute for Healthcare Organization and Medical Management 115088 Moscow Russia.
Abstract:
The paper focuses on several aspects as applied to the Russian Federation that expand the possibilities of modeling morbidity and identifying risk groups among residents of the region which currently cannot be used in an explicit way Several state information systems operate in the Russian Federation each of which was created to solve specific problems set by federal laws in the field of public health protection labor legislation and in the field of sanitary and epidemiological well-being of the population At the same time having data on the health of the population in medical information systems it is not yet possible to compare health risks with data from other information systems and conduct a comprehensive assessment of health risks for residents of the region.
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