Back to search

Article

Externally Validated Deep Learning Model to Identify Prodromal Parkinson’s Disease from Electrocardiogram

2022-11-21

Abstract excerpt

Little is known about Electrocardiogram (ECG) markers of Parkinson’s disease (PD) during the prodromal stage. The aim of the study was to build a generalizable ECG-based fully automatic artificial intelligence (AI) model to predict PD risk during the prodromal stage, up to 5 years before incidence of the disease. This retrospective case-control study included samples from Loyola University Chicago (LUC) and Univer...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
81df3d5a-acc8-5968-a5e5-9a1af53a1b82
DOI
10.21203/rs.3.rs-2277951/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Externally Validated Deep Learning Model to Identify Prodromal Parkinson’s Disease from ElectrocardiogramDOI 10.21203/rs.3.rs-2277951/v1
Select a neighboring publication to make it the new centre.