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A Hybrid Approach to Parkinson Disease Classification Using Speech Signal: The Combination of SMOTE and Random Forests

https://doi.org/10.1109/ebbt.2019.8741725
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.asoc.2018.10.022openalex-snapshot
A comparative analysis of speech signal processing algorithms for Parkinson’s disease classification and the use of the tunable Q-factor wavelet transform
inferredcites →https://doi.org/10.1016/j.asoc.2018.12.024openalex-snapshot
An alternative SMOTE oversampling strategy for high-dimensional datasets
inferredcites →https://doi.org/10.1016/j.cmpb.2017.04.007openalex-snapshot
An automatic non-invasive method for Parkinson's disease classification
inferredcites →https://doi.org/10.1016/j.cogsys.2018.12.004openalex-snapshot
Examining multiple feature evaluation and classification methods for improving the diagnosis of Parkinson’s disease
inferredcites →https://doi.org/10.1023/a:1010933404324openalex-snapshot
Random Forests
inferredcites →https://doi.org/10.1142/s0218001409007326openalex-snapshot
CLASSIFICATION OF IMBALANCED DATA: A REVIEW
inferredcites →https://doi.org/10.1145/1007730.1007733openalex-snapshot
Editorial
inferredcites →https://doi.org/10.1613/jair.953openalex-snapshot
SMOTE: Synthetic Minority Over-sampling Technique

What points at this work

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inferred← citeshttps://doi.org/10.2139/ssrn.4173130openalex-extracted
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inferred← citeshttps://doi.org/10.1002/eng2.13091openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/mds.29439openalex-snapshot
Automated Motor Tic Detection: A Machine Learning Approach
inferred← citeshttps://doi.org/10.1007/978-3-030-54932-9_13openalex-snapshot
Risk Prediction with Machine Learning in Cesarean Section: Optimizing Healthcare Operational Decisions
inferred← citeshttps://doi.org/10.1007/978-3-031-45003-7_2openalex-snapshot
State-of-the-Art: Wearable Devices and Deep Learning Techniques for Parkinson’s Disease
inferred← citeshttps://doi.org/10.1007/978-3-031-54547-4_15openalex-snapshot
Efficient Model for Prediction of Parkinson's Disease Using Machine Learning Algorithms with Hybrid Feature Selection Methods
inferred← citeshttps://doi.org/10.1007/978-3-031-74006-0_2openalex-snapshot
Artificial Intelligence and Machine Learning in Precision Health: An Overview of Methods, Challenges, and Future Directions
inferred← citeshttps://doi.org/10.1007/978-3-031-83117-1_18openalex-snapshot
Hybrid Approach to Voice-Based Classification of Parkinson’s Disease
inferred← citeshttps://doi.org/10.1007/978-3-031-93448-3_1openalex-snapshot
Integrating Machine Learning and Optimisation for Parkinson’s Detection: A Study of SMOTE, Featurewiz, Genetic Algorithm and Grid Search
inferred← citeshttps://doi.org/10.1007/978-3-032-32423-8_22openalex-snapshot
Common Cold Detection from Speech Using Deep Convolutional Neural Network and Mel-Spectrogram
inferred← citeshttps://doi.org/10.1007/978-981-19-4863-3_4openalex-snapshot
Application of ANN Combined with Machine Learning for Early Recognition of Parkinson’s Disease
inferred← citeshttps://doi.org/10.1007/978-981-95-2521-8_25openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-97-3817-5_12openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-99-6544-1_1openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-99-8646-0_9openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-99-8937-9_39openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s00521-021-06626-yopenalex-snapshot
Automated methods for diagnosis of Parkinson’s disease and predicting severity level
inferred← citeshttps://doi.org/10.1007/s00521-023-08742-3openalex-snapshot
New conditional generative adversarial capsule network for imbalanced classification of human sperm head images
inferred← citeshttps://doi.org/10.1007/s00521-026-12206-9openalex-snapshot
Advances in artificial intelligence for Parkinson’s disease detection: a decade of machine learning and deep learning insights
inferred← citeshttps://doi.org/10.1007/s10772-021-09837-9openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10772-024-10152-2openalex-snapshot
XEMLPD: an explainable ensemble machine learning approach for Parkinson disease diagnosis with optimized features
inferred← citeshttps://doi.org/10.1007/s11042-023-16804-wopenalex-snapshot
Parkinson’s disease classification using nature inspired feature selection and recursive feature elimination
inferred← citeshttps://doi.org/10.1007/s11042-024-20108-yopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s12065-023-00859-7openalex-snapshot
An insight on recent advancements and future perspectives in detection techniques of Parkinson’s disease
inferred← citeshttps://doi.org/10.1007/s12553-023-00810-xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s40010-026-01108-zopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s41870-020-00569-8openalex-snapshot
CMBA-SVM: a clinical approach for Parkinson disease diagnosis
inferred← citeshttps://doi.org/10.1007/s42979-021-00953-6openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s44174-025-00279-4openalex-snapshot
Exploring Multimodal Framework of Optimized Feature-Based Machine Learning to Revolutionize the Diagnosis of Parkinson’s Disease: AI-Driven Insights
inferred← citeshttps://doi.org/10.1016/j.apacoust.2023.109476openalex-snapshot
Proposing a new approach based on convolutional neural networks and random forest for the diagnosis of Parkinson's disease from speech signals
inferred← citeshttps://doi.org/10.1016/j.array.2021.100079openalex-snapshot
Parkinson's disease diagnosis: The effect of autoencoders on extracting features from vocal characteristics
inferred← citeshttps://doi.org/10.1016/j.artmed.2025.103109openalex-snapshot
Voice analysis in Parkinson’s disease - a systematic literature review
inferred← citeshttps://doi.org/10.1016/j.bbe.2022.06.007openalex-snapshot
Diagnosis of Parkinson's disease based on SHAP value feature selection
inferred← citeshttps://doi.org/10.1016/j.jvoice.2026.02.047openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.matpr.2021.03.421openalex-snapshot
WITHDRAWN: A benchmarking study of Parkinson's disease classification base on speech symptom features
inferred← citeshttps://doi.org/10.1016/j.mehy.2020.109722openalex-snapshot
Association analysis of Parkinson disease with vocal change characteristics using multi-objective metaheuristic optimization
inferred← citeshttps://doi.org/10.1063/5.0150531openalex-snapshot
Machine learning approaches in detection of Parkinson’s disease using speech and gait signals
inferred← citeshttps://doi.org/10.1088/2632-2153/adadc3openalex-snapshot
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inferred← citeshttps://doi.org/10.1108/ijicc-07-2021-0138openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2020.2968177openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2024.3487001openalex-snapshot
Enhancing Parkinson’s Disease Detection and Diagnosis: A Survey of Integrative Approaches Across Diverse Modalities
inferred← citeshttps://doi.org/10.1109/aisp53593.2022.9760641openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/csci51800.2020.00268openalex-snapshot
Distance Correlation Sure Independence Screening for Accelerated Feature Selection in Parkinson’s Disease Vocal Data
inferred← citeshttps://doi.org/10.1109/elexcom58812.2023.10370116openalex-snapshot
Machine Learning-Assisted Diagnosis of Speech Disorders: A Review of Dysarthric Speech
inferred← citeshttps://doi.org/10.1109/iatmsi68868.2026.11465362openalex-snapshot
Handling Data Imbalance and Feature Selection to Enhance Early Parkinson's Disease Diagnosis
inferred← citeshttps://doi.org/10.1109/icaaic53929.2022.9793136openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icac3n60023.2023.10541783openalex-snapshot
Speech Signal-Based Diagnosis System for Parkinson’s Disease: Tuning Decision Tree Classifiers and AdaBoost
inferred← citeshttps://doi.org/10.1109/icacta54488.2022.9752925openalex-snapshot
Parkinson Disease Detection Using Various Machine Learning Algorithms
inferred← citeshttps://doi.org/10.1109/icaeca56562.2023.10200704openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icaiihi67124.2025.11403199openalex-snapshot
Unlocking Parkinson’s Detection: A Survey of Machine Learning and Deep Learning Models on Multi-Source Data
inferred← citeshttps://doi.org/10.1109/icast59062.2023.10455006openalex-snapshot
A Machine Learning Model for Prediction of Parkinson’s Disease using Vocal Features
inferred← citeshttps://doi.org/10.1109/icca66035.2025.11431068openalex-snapshot
Early Detection of Parkinson’s Disease using Biomedical Voice Measurements with Random Forest Classifier
inferred← citeshttps://doi.org/10.1109/icccnt51525.2021.9580024openalex-snapshot
Parkinson's Disease Classification using Quantile Transformation and RFE
inferred← citeshttps://doi.org/10.1109/icccnt61001.2024.10725945openalex-snapshot
Investigating the Efficacy of Diverse Machine Learning Classifiers for Parkinson’s Disease Detection
inferred← citeshttps://doi.org/10.1109/iccst55948.2022.10040313openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icctwc68241.2026.11583606openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icetea64585.2025.11099746openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icmeas58693.2023.10429848openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icscan53069.2021.9526372openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icscds53736.2022.9760962openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icsitech46713.2019.8987499openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/idciot64235.2025.10914912openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/iihc55949.2022.10060407openalex-snapshot
A Machine Learning Approach to Detect Parkinson Disease Using Speech Signals
inferred← citeshttps://doi.org/10.1109/incowoco64194.2024.10863299openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/ispcc66872.2025.11039510openalex-snapshot
Development of an AI-Driven System for Detecting Parkinson’s Disease Utilizing Patient Voice
inferred← citeshttps://doi.org/10.1109/ki64036.2025.10916446openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/peeiacon63629.2024.10799942openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/smc54092.2024.10832023openalex-snapshot
Autoencoder-XGBoost Classifier (AeXGB) for Predicting Severity Level of Parkinson's Disease from Spontaneous Speech
inferred← citeshttps://doi.org/10.1109/stcr55312.2022.10009074openalex-snapshot
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inferred← citeshttps://doi.org/10.1111/coin.70036openalex-snapshot
A Modified U‐Shaped Transfer Function: Applied to Classify Parkinson'S Disease
inferred← citeshttps://doi.org/10.1111/exsy.12674openalex-snapshot
Classification of Parkinson disease using binary Rao optimization algorithms
inferred← citeshttps://doi.org/10.1111/exsy.12787openalex-snapshot
Efficient detection of Parkinson's disease using deep learning techniques over medical data
inferred← citeshttps://doi.org/10.1145/3418500openalex-snapshot
CROWD: Crow Search and Deep Learning based Feature Extractor for Classification of Parkinson’s Disease
inferred← citeshttps://doi.org/10.1145/3441417.3441425openalex-snapshot
A Comparative Study of Parkinson Disease Diagnosis in Machine Learning
inferred← citeshttps://doi.org/10.1145/3614425openalex-snapshot
Non-imaging Medical Data Synthesis for Trustworthy AI: A Comprehensive Survey
inferred← citeshttps://doi.org/10.12694/scpe.v25i1.2314openalex-snapshot
A Hybrid Model: Random Classification and Feature Selection Approach for Diagnosis of the Parkinson Syndrome
inferred← citeshttps://doi.org/10.14393/ufu.te.2021.680openalex-snapshot
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inferred← citeshttps://doi.org/10.14569/ijacsa.2022.0130466openalex-snapshot
An Intelligent Approach based on the Combination of the Discrete Wavelet Transform, Delta Delta MFCC for Parkinson's Disease Diagnosis
inferred← citeshttps://doi.org/10.15439/2020f188openalex-snapshot
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inferred← citeshttps://doi.org/10.21108/ijoict.v8i1.622openalex-snapshot
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inferred← citeshttps://doi.org/10.21203/rs.3.rs-10316519/v1openalex-snapshot
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inferred← citeshttps://doi.org/10.2139/ssrn.5161879openalex-snapshot
Speech based Parkinson’s Disease Detection using Machine Learning Techniques: A Survey
inferred← citeshttps://doi.org/10.21437/interspeech.2022-643openalex-snapshot
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inferred← citeshttps://doi.org/10.2196/58423openalex-snapshot
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inferred← citeshttps://doi.org/10.2196/preprints.58423openalex-snapshot
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inferred← citeshttps://doi.org/10.22146/ijccs.82548openalex-snapshot
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inferred← citeshttps://doi.org/10.2339/politeknik.1180081openalex-snapshot
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inferred← citeshttps://doi.org/10.26555/jiteki.v8i3.23684openalex-snapshot
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inferred← citeshttps://doi.org/10.29407/intensif.v9i2.23930openalex-snapshot
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inferred← citeshttps://doi.org/10.3389/fenrg.2022.988183openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/app11020581openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/app122211601openalex-snapshot
A Hybrid U-Lossian Deep Learning Network for Screening and Evaluating Parkinson’s Disease
inferred← citeshttps://doi.org/10.3390/app14093883openalex-snapshot
Bridging Modalities: A Multimodal Machine Learning Approach for Parkinson’s Disease Diagnosis Using EEG and MRI Data
inferred← citeshttps://doi.org/10.3390/biology11030469openalex-snapshot
A Comprehensive Survey on the Detection, Classification, and Challenges of Neurological Disorders
inferred← citeshttps://doi.org/10.3390/diagnostics12081980openalex-snapshot
An Analysis of Vocal Features for Parkinson’s Disease Classification Using Evolutionary Algorithms
inferred← citeshttps://doi.org/10.3390/diagnostics12123000openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/electronics12132856openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/math11030707openalex-snapshot
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inferred← citeshttps://doi.org/10.4018/979-8-3693-0786-1.ch008openalex-snapshot
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inferred← citeshttps://doi.org/10.47001/irjiet/2024.801015openalex-snapshot
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inferred← citeshttps://doi.org/10.47001/irjiet/2024.801018openalex-snapshot
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inferred← citeshttps://doi.org/10.5204/thesis.eprints.241291openalex-snapshot
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inferred← citeshttps://doi.org/10.56155/978-81-955020-7-3-11openalex-snapshot
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inferred← citeshttps://doi.org/10.58837/chula.the.2022.953openalex-snapshot
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