Author: Lakman, I. A.; Askarov, R. A.; Prudnikov, V. B.; Askarova, Z. F.; Timiryanova, V. M.
Title: Predicting Mortality by Causes in the Republic of Bashkortostan Using the Lee–Carter Model Cord-id: 6pbzgpvg Document date: 2021_9_23
ID: 6pbzgpvg
Snippet: This paper analyzes and predicts age-sex mortality rates by causes in the Republic of Bashkortostan. The following methods of analysis were used: the Lee–Carter model, singular value decomposition, and ARIMA-modeling. The forecast results suggest that by 2025 the Republic of Bashkortostan will have lower mortality due to malignant neoplasms in all age groups, except for the 70+ group for women and 50+ age groups for men; lower mortality due to diseases of the circulatory system in all age grou
Document: This paper analyzes and predicts age-sex mortality rates by causes in the Republic of Bashkortostan. The following methods of analysis were used: the Lee–Carter model, singular value decomposition, and ARIMA-modeling. The forecast results suggest that by 2025 the Republic of Bashkortostan will have lower mortality due to malignant neoplasms in all age groups, except for the 70+ group for women and 50+ age groups for men; lower mortality due to diseases of the circulatory system in all age groups for men and higher mortality in 45+ age groups for women; lower mortality due to injuries in all age groups for both sexes; no significant changes in mortality due to respiratory diseases; increased mortality from gastrointestinal diseases for both sexes at all ages, except for children; higher mortality due to infections at 20–54 for men and 20–64 for women; and almost half lower mortality from infections in the age group of 0–4 years for both sexes.
Search related documents:
Co phrase search for related documents- absolute number and machine learning: 1
- accurate forecast and machine learning: 1, 2, 3, 4, 5, 6, 7, 8
- active population and machine learning: 1, 2
- long period and machine learning: 1, 2, 3, 4, 5, 6, 7
- long period and machine learning tool: 1
Co phrase search for related documents, hyperlinks ordered by date