A deep artificial neural network based model for underlying cause of death prediction from death certificates

08/26/2019
by   Louis Falissard, et al.
0

Underlying cause of death coding from death certificates is a process that is nowadays undertaken mostly by humans with a potential assistance from expert systems such as the Iris software. It is as a consequence an expensive process that can in addition suffer from geospatial discrepancies, thus severely impairing the comparability of death statistics at the international level. The recent advances in artificial intelligence, specifically the raise of deep learning methods, has enabled computers to make efficient decisions on a number of complex problem that were typically considered as out of reach without human assistance. They however require a considerable amount of data to learn from, which is typically their main limiting factor. However, the CépiDc stores an exhaustive database of death certificate at the French national scale, amounting to several millions training example available for the machine learning practitioner. This article presents a deep learning based tool for automated coding of the underlying cause of death from the data contained in death certificates with 97.8 the Iris software and its 75 an improvement opens a whole field of new applications, from nosologist-level batch automated coding to international and temporal harmonization of cause of death statistics.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 10

03/27/2020

Neural translation and automated recognition of ICD10 medical entities from natural language

The recognition of medical entities from natural language is an ubiquito...
12/01/2019

Alignment Free and Distortion Robust Iris Recognition

Iris recognition is a reliable personal identification method but there ...
05/23/2019

Constrained Design of Deep Iris Networks

Despite the promise of recent deep neural networks in the iris recogniti...
03/21/2022

Automated Clinical Coding: What, Why, and Where We Are?

Clinical coding is the task of transforming medical information in a pat...
09/27/2012

Examples of Artificial Perceptions in Optical Character Recognition and Iris Recognition

This paper assumes the hypothesis that human learning is perception base...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.