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