# Machine Learning Techniques for Mortality Modeling

## TL;DR

This paper explores how machine learning techniques can evaluate and enhance mortality models by analyzing their quality and differentiating causes of death, offering a novel approach in mortality modeling.

## Contribution

Introduces machine learning methods to assess and improve mortality models and to distinguish causes of death within mortality analysis.

## Key findings

- Machine learning effectively evaluates mortality model quality.
- Techniques differentiate causes of death in mortality data.
- Potential for improved mortality predictions using ML.

## Abstract

Various stochastic models have been proposed to estimate mortality rates. In this paper we illustrate how machine learning techniques allow us to analyze the quality of such mortality models. In addition, we present how these techniques can be used for differentiating the different causes of death in mortality modeling.