42776

Автор(ы): 
Михальский А. И. (ИПУ РАН, Лаборатория 38)
Автор(ов): 

4

Параметры публикации
Тип публикации: 
Доклад
Название: 
Splitting of aggregated medical and demographic data
Электронная публикация: 
Да
ISBN/ISSN: 
978-1-5386-0500-4
Наименование конференции: 
11th IEEE International Conference on Application of Information and Communication Technologies (AICT2017, Moscow)
Наименование источника: 
Proceedings of the 11th IEEE International Conference on Application of Information and Communication Technologies (AICT2017, Moscow)
Обозначение и номер тома: 
V.2
Город: 
Moscow
Издательство: 
IEEE
Год издания: 
2017
Страницы: 
420-424
Аннотация
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.
Библиографическая ссылка: 
Михальский А.И., Горлищев В.П., Жданов Д.А., Григорьев П.П. Splitting of aggregated medical and demographic data / Proceedings of the 11th IEEE International Conference on Application of Information and Communication Technologies (AICT2017, Moscow). Moscow: IEEE, 2017. V.2. С. 420-424.