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Splitting of aggregated medical and demographic data

Mikhalskii, A. I., Gorlischev, V. P., Jdanov, D. A., Grigoriev, P.

In: Institute of Electrical and Electronics Engineers (Hrsg.): Proceedings of the 11th IEEE International Conference "Application of Information and Communication Technologies" (AICT-2017), 420-424 (2017)
Moscow: Institute of Electrical and Electronics Engineers.

Abstract

It is common in medical statistics and in demography to use data aggregated in 5-year or 10-year age groups. More detailed information by 1-year age groups are needed for precise estimations and projections. We describe two approaches for grouped data splitting. One uses a constrained quadratic optimization technique and the other builds an artificial neural net.

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