Hybrid Resampling and Xgboost Prediction Using Patient's Details as Features for Parkinson's Disease Detection

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 ◽

Quality Control ◽

Disease Detection ◽

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 ◽

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

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Parkinson’s Disease Detection Using FMRI Images Leveraging Transfer Learning on Convolutional Neural Network

2020 International Conference on Machine Learning and Cybernetics (ICMLC) ◽

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

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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

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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

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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

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Performance Comparison of Different Kernel Tricks Based on SVM Approach for Parkinson’s Disease Detection

2021 2nd International Conference for Emerging Technology (INCET) ◽

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

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Deep Learning Approach to Parkinson’s Disease Detection Using Voice Recordings and Convolutional Neural Network Dedicated to Image Classification

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) ◽

10.1109/embc.2019.8856972 ◽

2019 ◽

Cited By ~ 2

Author(s):

Marek Wodzinski ◽

Andrzej Skalski ◽

Daria Hemmerling ◽

Juan Rafael Orozco-Arroyave ◽

Elmar Noth

Keyword(s):

Neural Network ◽

Parkinson’S Disease ◽

Parkinson's Disease ◽

Deep Learning ◽

Convolutional Neural Network ◽

Image Classification ◽

Disease Detection ◽

Learning Approach

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