- Modeling causes of death🔍
- Machine|learning model to predict the cause of death using a ...🔍
- Modeling and Forecasting Cause|of|Death Mortality by ...🔍
- Modeling and Forecasting Cause|of|Death Mortality🔍
- Interpretable machine learning prediction of all|cause mortality🔍
- A tensor|based approach to cause|of|death mortality modeling🔍
- Modelling cause|of|death mortality and the impact of cause ...🔍
- Cause of cause of death projection model🔍
Modeling causes of death
Modeling causes of death: an integrated approach using CODEm
The Cause of Death Ensemble model (CODEm) - which explores a large variety of possible models to estimate trends in causes of death.
Modeling causes of death: an integrated approach using CODEm
CODEm produces better estimates of cause of death trends than previous methods and is less susceptible to bias in model specification.
Modeling causes of death: an integrated approach using CODEm
This study proposes five general principles for cause of death model development, validation, and reporting and details an analytical tool ...
Machine-learning model to predict the cause of death using a ...
This study aimed to develop and validate a machine-learning model that predicts the cause of death from the patient's last medical checkup.
Modeling and Forecasting Cause-of-Death Mortality by ... - SOA
This report provides a toolkit for actuaries and other interested parties to model and forecast mortality by cause and socioeconomic factors. The benefits of ...
Modeling and Forecasting Cause-of-Death Mortality - SOA
The by- cause mortality forecast enables capturing recent cause-specific trends along with the impact of emerging causes of death. Moreover, the standard model ...
Interpretable machine learning prediction of all-cause mortality
We show that IMPACT models achieve higher accuracy than linear models and neural networks. Using IMPACT, we identify several overlooked risk ...
A tensor-based approach to cause-of-death mortality modeling
The primary aim of four-way tensor decomposition models is the exploratory analysis of four-way data that can emerge in different contexts; our ...
Modelling cause-of-death mortality and the impact of cause ...
We develop and apply a multinomial logistic framework to model causal mortality. We use internationally classified cause-of-death categories and data obtained ...
Cause of cause of death projection model - Club Vita
A longevity projection model that aims to predict the future changes to mortality rates by modeling the changes in the underlying causes of specific…
Modelling Determinants of Deaths Attributable to External Causes ...
The study aimed at finding the risk factors associated with adult mortality (15-59 years) due to external causes (accidents, suicide, ...
Dependency Modeling Approach of Cause-Related Mortality and ...
Disaggregation of mortality by cause has advanced the development of life tables for life insurance and pension purposes.
Modeling causes of death: An integrated approach using CODEm
We detail a specific implementation of these principles that is embodied in an analytical tool - the Cause of Death Ensemble model (CODEm) - which explores a ...
Modelling Mortality by Cause of Death and Socio-Economic ...
The main purpose of this paper is to introduce new modelling techniques that enable the modelling and projection of mortality trends by cause of death and ...
Modeling causes of death: an integrated approach using CODEm
MethodsWe detail a specific implementation of these principles that is embodied in an analytical tool - the Cause of Death Ensemble model (CODEm) - which ...
Joint Models for Cause-of-Death Mortality in Multiple Populations
We investigate jointly modeling Age-specific rates of various causes of death in a multinational setting.
Causes of Death - Our World in Data
... cause of death' listed on death certificates, verbal autopsies, and statistical modeling. This is a simplification, as people often have multiple diseases ...
Temporal Clustering of the Causes of Death for Mortality Modelling
This paper aims to determine temporal homogeneous clusters using unsupervised learning, a clustering approach to group causes of death based on (dis)similarity ...
Modeling causes of death: an integrated approach using CODEm
Abstract Background Data on causes of death by age and sex are a critical input into health decision-making. Priority setting in public health should be ...
Modeling cause-of-death mortality using hierarchical Archimedean ...
This paper introduces a class of hierarchical Archimedean copula (HAC) models for cause-specific mortality data. The approach extends the standard Archimedean ...