Convolutional neural network based detection of early stage Parkinson’s disease using the six minute walk test

Convolutional neural network based detection of early stage Parkinson’s disease using the six minute walk test

Abstract The heterogeneity of Parkinson’s disease (PD) presents considerable challenges for accurate diagnosis, particularly during early-stage disease, when the symptoms may be extremely subtle. This study aimed to assess the accuracy of a convolutional neural network (CNN) technique based on the 6...

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Bibliographic Details
Main Authors: Hyejin Choi, Changhong Youm, Hwayoung Park, Bohyun Kim, Juseon Hwang, Sang-Myung Cheon, Sungtae Shin
Format: Article
Language:English
Published: Nature Portfolio 2024-09-01
Series:Scientific Reports
Subjects:
Parkinson’s disease
Detection
Artificial intelligence
Deep learning
Convolutional neural network
Six-minute walk test
Online Access:https://doi.org/10.1038/s41598-024-72648-w
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