Results 1 to 10 of about 30,610 (114)
Diabetes Mortality in the Post-Pandemic Era: What Recent Global Burden of Disease Data Reveals About COVID-19’s Lasting Impact [PDF]
EpidemiologiaThe COVID-19 pandemic disrupted diabetes care globally and created a complex bidirectional health crisis. Recent forecasting efforts using pre-pandemic data projected substantial increases in diabetes mortality through 2030, raising concerns about ...
Kaustubh Wagh, Gerardo Chowell
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Design of 1-year mortality forecast at hospital admission: A machine learning approach
Health Informatics Journal, 2021 Palliative care is referred to a set of programs for patients that suffer life-limiting illnesses. These programs aim to maximize the quality of life (QoL) for the last stage of life.
Vicent Blanes-Selva +5 more
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Model confidence sets and forecast combination: an application to age-specific mortality
Genus, 2018 Background Model averaging combines forecasts obtained from a range of models, and it often produces more accurate forecasts than a forecast from a single model.
Han Lin Shang, Steven Haberman
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Credible Regression Approaches to Forecast Mortality for Populations with Limited Data
Risks, 2019 In this paper, we propose a credible regression approach with random coefficients to model and forecast the mortality dynamics of a given population with limited data.
Apostolos Bozikas, Georgios Pitselis
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Assessing SARS-CoV-2-related mortality rate in Russian regions, based on the econometric model
Инфекция и иммунитет, 2022 The objects of the study were the daily data on the population morbidity and mortality due to coronavirus disease 2019 (COVID-19) in Russian regions, as well as regional medical, demographic and environmental data recorded in recent years.
Vladimir S. Stepanov
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Markov-Switching Bayesian Vector Autoregression Model in Mortality Forecasting
Risks, 2023 We apply a Markov-switching Bayesian vector autoregression (MSBVAR) model to mortality forecasting. MSBVAR has not previously been applied in this context, and our results show that it is a promising tool for mortality forecasting. Our model shows better
Wanying Fu +3 more
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Mortality forecast from gastroduodenal ulcer disease for different gender and age population groups in Ukraine [PDF]
Medičnì Perspektivi, 2016 Until 2030 the ulcer mortality will have a growing trend as estimated by the World Health Organization. Detection of countries and population groups with high risks for the ulcer mortality is possible using forecast method. The authors made a forecast of
Duzhiy I.D. +4 more
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Common Factor Cause-Specific Mortality Model
Risks, 2021 Recent pension reforms in Europe have implemented a link between retirement age and life expectancy. The accurate forecast of life tables and life expectancy is hence paramount for governmental policy and financial institutions.
Geert Zittersteyn +1 more
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Risks, 2023 Stochastic mortality models seek to forecast future mortality rates; thus, it is apparent that the objective variable should be the mortality rate expressed in the original scale. However, the performance of stochastic mortality models—in terms, that is,
Miguel Santolino
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Applied Sciences, 2022 The ongoing pandemic has resulted in the development of models dealing with the rate of virus spread and the modelling of mortality rates μx,t. A new method of modelling the mortality rates μx,t with different time intervals of higher and lower ...
Piotr Sliwka, Leslaw Socha
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