Use of Attention Maps to Enrich Discriminability in Deep Learning Prediction Models Using Longitudinal Data from Electronic Health Records

Use of Attention Maps to Enrich Discriminability in Deep Learning Prediction Models Using Longitudinal Data from Electronic Health Records

Background: In predictive modelling, particularly in fields such as healthcare, the importance of understanding the model’s behaviour rivals, if not surpasses, that of discriminability. To this end, attention mechanisms have been included in deep learning models for years. However, when comparing di...

Full description

Saved in:
Bibliographic Details
Main Authors: Lucía A. Carrasco-Ribelles, Margarita Cabrera-Bean, Jose Llanes-Jurado, Concepción Violán
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Applied Sciences
Subjects:
attention mechanism
clinical plausibility
discriminability
electronic health record
recurrent neural network
longitudinal data
Online Access:https://www.mdpi.com/2076-3417/15/1/146
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2076-3417/15/1/146

Similar Items