Jun 11, 2019 · In this paper, we study the possibility of jointly learning the hidden structure of EHR while performing supervised prediction tasks on EHR data.

In this paper, we study the possibility of jointly learning the hidden structure of EHR while performing super- vised prediction tasks on EHR data. Specifically ...

Nov 5, 2022 · This repository contains an implementation of Graph Convolutional Transformer, as described in “Learning the Graphical Structure of Electronic Health Records

Jun 16, 2019 · In this paper, we study the possibility of utilizing the implicit structure of EHR by using the Transformer for prediction tasks on EHR data.

Duration: 1:29:35
Posted: Jun 10, 2021

It is argued that the Transformer is a suitable model to learn the hidden EHR structure, and a Graph Convolutional Transformer, which uses data statistics ...

Specifically, we discuss that Transformer is a suitable basis model to learn the hidden EHR structure, and propose Graph Convolutional Transformer, which uses ...

Topics · Graph Convolutional Transformer · Medical Codes · Electronic Health Records · Prediction Tasks · Representation Learning Algorithms · Heart Failure ...

Jun 28, 2020 · Specifically, we discuss that Transformer is a suitable basis model to learn the hidden EHR structure, and propose Graph Convolutional ...

Duration: 41:25
Posted: May 21, 2020