A tensor|based approach to cause|of|death mortality modeling

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 ...

A tensor-based approach to cause-of-death mortality modeling - OUCI

In this work, using the Tucker4 model, we apply a tensor-based approach to the mortality by cause of death, hence considering data stored in a four-dimensional ...

Cause-of-death mortality forecasting using adaptive penalized ...

In this paper, we propose a novel predictive approach for cause-of-death mortality forecasting, based on an adaptive penalized tensor decomposition (ADAPT).

An Application of the Tensor-Based Approach to Mortality Modeling

A tensor-based approach to cause-of-death mortality modeling ... In various situations, a researcher analyses data stored in a matrix. Often, the information is ...

An Application of the Tensor-Based Approach to Mortality Modeling

A tensor-based approach to cause-of-death mortality modeling. Article Open access 17 November 2022 ; Statistical Methods for Tensor Data Analysis.

Cause-of-Death Mortality Forecasting Using Adaptive Penalized ...

In this paper, we propose a novel approach for forecasting cause-of-death mortality based on tensor decomposition techniques, which models the three dimensions ...

Cause of death mortality forecasting using penalized adaptive ...

In this paper, we propose a novel predictive approach for cause-of-death mortality forecasting, based on an adaptive penalized tensor ...

Cause-of-death mortality forecasting using adaptive penalize

In this paper, we propose a novel predictive approach for cause-of-death mortality forecasting, based on an adaptive penalized tensor decomposition (ADAPT). The ...

A Model-Based Estimate of Cumulative Excess Mortality in Survivors ...

First, our estimates of excess mortality risk rely on the accuracy of cause-of-death information obtained from the National Death Index (21, 22). An analysis of ...

Cause-of-Death Mortality Forecasting Using Adaptive Penalized ...

In this paper, we propose a novel predictive approach for cause-of-death mortality forecasting based on an adaptive penalized tensor ...

A tensor-based approach to cause-of-death mortality modeling - IRIS

In this work, using the Tucker4 model, we apply a tensor-based approach to the mortality by cause of death, hence considering data stored in a four-dimensional ...

Dependency Modeling Approach of Cause-Related Mortality and ...

The dataset was derived from the World Health Organization database that constituted annualized death numbers, causes, age, gender, and years ( ...

Interpretable machine learning prediction of all-cause mortality

To achieve high accuracy and explainable mortality prediction models, we developed the IMPACT (Fig. 1) framework, which combines tree-based ...

Multivariable Mortality Modeling, Survival Analysis, and Machine ...

The main challenge of time-to-event data is the presence of incomplete observations. This occurs due to censoring, i.e., when a death event happens outside of ...

Interpretable machine learning for mortality modeling on patients ...

The variables selected by the BorutaShap method were age, place and date of death. XGBoost can be used to predict the probability of death from COD, CNOD and ...

Incorporating Predictions of Future General Population Mortality Into ...

We propose a new dynamic general population mortality modeling approach, which enables analysts to implement predictions of future changes in mortality rates.

[2301.01693] Mortality modeling at old-age: a mixture model approach

In summary, this paper presents a mixture-based model that captures the behavior of mortality rates at all ages and outperforms other widely ...

Dynamic Mortality Modeling: Incorporating Predictions of Future ...

We propose a new dynamic general population mortality modeling approach, which enables analysts to implement predictions of future changes in mortality rates.

[PDF] Machine learning techniques for mortality modeling

This paper illustrates how machine learning techniques allow us to analyze the quality of stochastic models and how these techniques can be used for ...

Modeling and Forecasting Cause-of-Death Mortality - SOA

Then, the authors detail the model calibration, with a specific interest on the trend parameters. 5.1 STATE OF THE ART. Several approaches can be used to ...