AdaBoost for Parkinson's Disease Detection using Robust Scaler and SFS from Acoustic Features

Mapping Intimacies ◽

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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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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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

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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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Learning acoustic features to detect Parkinson’s disease

Neurocomputing ◽

10.1016/j.neucom.2018.08.036 ◽

2018 ◽

Vol 318 ◽

pp. 102-108 ◽

Cited By ~ 6

Author(s):

Kebin Wu ◽

David Zhang ◽

Guangming Lu ◽

Zhenhua Guo

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

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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