Parkinson’s disease detection using a novel weighted ensemble of CNN models
Author:
Affiliation:
1. Rajkiya Engineering College,Kannauj,India
2. United University,Prayagraj,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10306338/10306339/10306668.pdf?arnumber=10306668
Reference22 articles.
1. A step towards the automated diagnosis of parkinson’s disease: Analyzing handwriting movements;pereira;2015 IEEE 28th International Symposium on Computer-Based Medical Systems,2015
2. Pose-based tremor classification for parkinson’s disease diagnosis from video;zhang;Medical Image Computing and Computer Assisted Intervention–MICCAI 2022 25th International Conference Singapore September 18–22 2022 Proceedings,2022
3. Handwritten dynamics assessment through convolutional neural networks: An application to Parkinson's disease identification
4. Deep Learning-Aided Parkinson's Disease Diagnosis from Handwritten Dynamics
5. Early Prediction of Cardiac Arrest Using Hybrid Machine Learning Models
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