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Graphical representation and variability quantification of handwriting signals: New tools for Parkinson’s disease detection
Journal of Applied Biomedicine
◽
10.1016/j.bbe.2021.12.007
◽
2022
◽
Author(s):
Elham Dehghanpur Deharab
◽
Peyvand Ghaderyan
Keyword(s):
Parkinson’S Disease
◽
Parkinson's Disease
◽
Graphical Representation
◽
Disease Detection
Download Full-text
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Automatic quality control and enhancement for voice-based remote Parkinson’s disease detection
Speech Communication
◽
10.1016/j.specom.2020.12.007
◽
2021
◽
Vol 127
◽
pp. 1-16
Author(s):
Amir Hossein Poorjam
◽
Mathew Shaji Kavalekalam
◽
Liming Shi
◽
Jordan P. Raykov
◽
Jesper Rindom Jensen
◽
...
Keyword(s):
Parkinson’S Disease
◽
Parkinson's Disease
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Quality Control
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Disease Detection
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Automatic Quality Control
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Medical follow up assessments of iPrognosis application users for early Parkinson's disease detection
Parkinsonism & Related Disorders
◽
10.1016/j.parkreldis.2020.06.155
◽
2020
◽
Vol 79
◽
pp. e37
Author(s):
L. Klingelhoefer
◽
S. Bostanjopoulou
◽
D. Trivedi
◽
S. Hadjidimitriou
◽
D. Hausbrand
◽
...
Keyword(s):
Parkinson’S Disease
◽
Parkinson's Disease
◽
Disease Detection
◽
Early Parkinson’S Disease
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A novel method based on matching pursuit decomposition of gait signals for Parkinson’s disease, Amyotrophic lateral sclerosis and Huntington’s disease detection
Neuroscience Letters
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10.1016/j.neulet.2021.136107
◽
2021
◽
pp. 136107
Author(s):
Masume Saljuqi
◽
Peyvand Ghaderyan
Keyword(s):
Parkinson’S Disease
◽
Parkinson's Disease
◽
Amyotrophic Lateral Sclerosis
◽
Huntington's Disease
◽
Huntington’S Disease
◽
Matching Pursuit
◽
Disease Detection
◽
Matching Pursuit Decomposition
◽
Novel Method
◽
Lateral Sclerosis
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SMOTE and ENN based XGBoost prediction model for Parkinson’s disease detection
10.1109/icosec51865.2021.9591716
◽
2021
◽
Author(s):
Aishwarya Keller
◽
Anukul Pandey
Keyword(s):
Parkinson’S Disease
◽
Parkinson's Disease
◽
Prediction Model
◽
Disease Detection
Download Full-text
Parkinson’s Disease Detection Using FMRI Images Leveraging Transfer Learning on Convolutional Neural Network
2020 International Conference on Machine Learning and Cybernetics (ICMLC)
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10.1109/icmlc51923.2020.9469530
◽
2020
◽
Author(s):
ASADUZZAMAN SAJEEB
◽
A.F.M. NAZMUS SAKIB
◽
SANJIDA ALI SHUSHMITA
◽
S. M. ASHRAF KABIR
◽
MD TANZIM REZA
◽
...
Keyword(s):
Neural Network
◽
Parkinson’S Disease
◽
Parkinson's Disease
◽
Convolutional Neural Network
◽
Transfer Learning
◽
Disease Detection
Download Full-text
Hybrid Resampling and Xgboost Prediction Using Patient's Details as Features for Parkinson's Disease Detection
10.1109/icses52305.2021.9633831
◽
2021
◽
Author(s):
Aishwarya Keller
◽
Anukul Pandey
Keyword(s):
Parkinson’S Disease
◽
Parkinson's Disease
◽
Disease Detection
◽
Hybrid Resampling
Download Full-text
Parkinson’s Disease Detection from fMRI-Derived Brainstem Regional Functional Connectivity Networks
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - Lecture Notes in Computer Science
◽
10.1007/978-3-030-59728-3_4
◽
2020
◽
pp. 33-43
Author(s):
Nandinee Fariah Haq
◽
Jiayue Cai
◽
Tianze Yu
◽
Martin J. McKeown
◽
Z. Jane Wang
Keyword(s):
Parkinson’S Disease
◽
Parkinson's Disease
◽
Functional Connectivity
◽
Disease Detection
Download Full-text
AdaBoost for Parkinson's Disease Detection using Robust Scaler and SFS from Acoustic Features
10.1109/stcr51658.2021.9588906
◽
2021
◽
Author(s):
Kakunuri Venkata Ashok Reddy
◽
Srujith Rao Ambati
◽
Yennam Shiva Rithik Reddy
◽
Agumamidi Nithish Reddy
Keyword(s):
Parkinson’S Disease
◽
Parkinson's Disease
◽
Disease Detection
◽
Acoustic Features
Download Full-text
Video-based Automatic Early Parkinson’s Disease Detection System using Biomechanical Features
Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference
◽
10.3850/978-981-14-8593-0_4630-cd
◽
2020
◽
Author(s):
Changhong Lin
◽
Shaoping Wang
Keyword(s):
Parkinson’S Disease
◽
Parkinson's Disease
◽
Detection System
◽
Disease Detection
◽
Biomechanical Features
◽
Early Parkinson’S Disease
Download Full-text
Performance Comparison of Different Kernel Tricks Based on SVM Approach for Parkinson’s Disease Detection
2021 2nd International Conference for Emerging Technology (INCET)
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10.1109/incet51464.2021.9456233
◽
2021
◽
Author(s):
Namrata Saha
◽
Ananta Kumar Show
◽
Priya Das
◽
Sarita Nanda
Keyword(s):
Parkinson’S Disease
◽
Parkinson's Disease
◽
Performance Comparison
◽
Disease Detection
Download Full-text
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