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Imperative Role of Machine Learning Algorithm for Detection of Parkinson’s Disease: Review, Challenges and Recommendations

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Sex Differences in Clinical and Genetic Determinants of Levodopa Peak-Dose Dyskinesias in Parkinson Disease
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Selegiline reduces daytime sleepiness in patients with Parkinson's disease
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Parkinson Disease Prediction Using Machine Learning Algorithm
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Diagnosis of Parkinson’s Disease by Deep Learning Techniques Using Handwriting Dataset
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Extraction, selection and comparison of features for an effective automated computer-aided diagnosis of Parkinson’s disease based on [123I]FP-CIT SPECT images
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Evaluation of train and test performance of machine learning algorithms and Parkinson diagnosis with statistical measurements
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Amantadine Revisited: A Contender for Initial Treatment in Parkinson’s Disease?
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Evaluation of handwriting kinematics and pressure for differential diagnosis of Parkinson's disease
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A comparative analysis of speech signal processing algorithms for Parkinson’s disease classification and the use of the tunable Q-factor wavelet transform
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Detection of Parkinson’s Disease from gait using Neighborhood Representation Local Binary Patterns
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A new computer vision-based approach to aid the diagnosis of Parkinson's disease
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A Diadochokinesis-based expert system considering articulatory features of plosive consonants for early detection of Parkinson’s disease
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Gait and tremor investigation using machine learning techniques for the diagnosis of Parkinson disease
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Metric learning for Parkinsonian identification from IMU gait measurements
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Gait and tremor assessment for patients with Parkinson’s disease using wearable sensors
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High-Accuracy Detection of Early Parkinson's Disease through Multimodal Features and Machine Learning
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A Q-backpropagated time delay neural network for diagnosing severity of gait disturbances in Parkinson’s disease
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Investigating voice as a biomarker: Deep phenotyping methods for early detection of Parkinson's disease
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Phonatory Impairment in Parkinson's Disease: Evidence from Nonlinear Dynamic Analysis and Perturbation Analysis
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Automated Parkinson’s disease recognition based on statistical pooling method using acoustic features
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Early diagnosis of Parkinson’s disease using machine learning algorithms
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Elemental fingerprint: Reassessment of a cerebrospinal fluid biomarker for Parkinson's disease
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REM sleep behavior disorder and motor dysfunction in Parkinson's disease – A longitudinal study
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Detecting Parkinson’s disease with sustained phonation and speech signals using machine learning techniques
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A new machine learning based approach to predict Freezing of Gait
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Staging of brain pathology related to sporadic Parkinson’s disease
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The Parkinson larynx: Tremor and videostroboscopic findings
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Exploiting Nonlinear Recurrence and Fractal Scaling Properties for Voice Disorder Detection
inferredcites →https://doi.org/10.1038/nrdp.2017.13openalex-snapshot
Parkinson disease
inferredcites →https://doi.org/10.1038/s41598-018-24783-4openalex-snapshot
Model-based and Model-free Machine Learning Techniques for Diagnostic Prediction and Classification of Clinical Outcomes in Parkinson’s Disease
inferredcites →https://doi.org/10.1038/s41598-019-53656-7openalex-snapshot
Selecting Clinically Relevant Gait Characteristics for Classification of Early Parkinson’s Disease: A Comprehensive Machine Learning Approach
inferredcites →https://doi.org/10.1080/00207454.2017.1325883openalex-snapshot
Neuromelanin in parkinsonian disorders: an update
inferredcites →https://doi.org/10.1080/01616412.2017.1348690openalex-snapshot
Selection of gait parameters for differential diagnostics of patients with de novo Parkinson’s disease
inferredcites →https://doi.org/10.1080/14656566.2022.2060738openalex-snapshot
What is the impact of catechol-O-methyltransferase (COMT) on Parkinson’s disease treatment?
inferredcites →https://doi.org/10.1088/1757-899x/675/1/012031openalex-snapshot
Classification of Parkinson disease data with artificial neural networks
inferredcites →https://doi.org/10.1093/aje/kwg068openalex-snapshot
Incidence of Parkinson's Disease: Variation by Age, Gender, and Race/Ethnicity
inferredcites →https://doi.org/10.1109/access.2019.2906350openalex-snapshot
Feature Selection Based on L1-Norm Support Vector Machine and Effective Recognition System for Parkinson’s Disease Using Voice Recordings
inferredcites →https://doi.org/10.1109/access.2019.2936564openalex-snapshot
Deep Learning-Based Parkinson’s Disease Classification Using Vocal Feature Sets
inferredcites →https://doi.org/10.1109/access.2021.3051432openalex-snapshot
A Deep Learning Based Method for Parkinson’s Disease Detection Using Dynamic Features of Speech
inferredcites →https://doi.org/10.1109/acssc.2015.7421273openalex-snapshot
Causality graph learning on cortical information flow in Parkinson's disease patients during behaviour tests
inferredcites →https://doi.org/10.1109/biocas.2018.8584721openalex-snapshot
Resting Tremor Detection in Parkinson's Disease with Machine Learning and Kalman Filtering
inferredcites →https://doi.org/10.1109/ccece.2019.8861759openalex-snapshot
A Parkinson’s Disease Classification Method: An Approach Using Gait Dynamics and Detrended Fluctuation Analysis
inferredcites →https://doi.org/10.1109/ceit.2018.8751879openalex-snapshot
A Deep Learning-CNN Based System for Medical Diagnosis: An Application on Parkinson’s Disease Handwriting Drawings
inferredcites →https://doi.org/10.1109/ehb47216.2019.8969942openalex-snapshot
Parkinson’s Disease Detection from Gait Patterns
inferredcites →https://doi.org/10.1109/eitech.2015.7163000openalex-snapshot
Voiceprints analysis using MFCC and SVM for detecting patients with Parkinson's disease
inferredcites →https://doi.org/10.1109/embc.2018.8512194openalex-snapshot
Multiple Kernel Learning Based Classification of Parkinson’s Disease With Multi-Modal Transcranial Sonography
inferredcites →https://doi.org/10.1109/icacat.2018.8933579openalex-snapshot
Predicting the occurrence of Parkinson’s Disease using various Classification Models
inferredcites →https://doi.org/10.1109/icace.2018.8687022openalex-snapshot
Classification of Subjects with Parkinson's Disease Using Gait Data Analysis
inferredcites →https://doi.org/10.1109/iccpct.2017.8074230openalex-snapshot
Parkinsons disease classification using wavelet transform based feature extraction of gait data
inferredcites →https://doi.org/10.1109/icmla.2018.00219openalex-snapshot
Detailed Analysis of the Luria's Alternating SeriesTests for Parkinson's Disease Diagnostics
inferredcites →https://doi.org/10.1109/icumt.2018.8631265openalex-snapshot
Advanced Parkinson's Disease Dysgraphia Analysis Based on Fractional Derivatives of Online Handwriting
inferredcites →https://doi.org/10.1109/jbhi.2013.2245674openalex-snapshot
Collection and Analysis of a Parkinson Speech Dataset With Multiple Types of Sound Recordings
inferredcites →https://doi.org/10.1109/jbhi.2015.2450232openalex-snapshot
Classification of Parkinson's Disease Gait Using Spatial-Temporal Gait Features
inferredcites →https://doi.org/10.1109/ncg.2018.8592989openalex-snapshot
Classification of Parkinson’s Disease Using NNge Classification Algorithm
inferredcites →https://doi.org/10.1109/rice.2018.8509069openalex-snapshot
Application of Multi Layer (Perceptron) Artificial Neural Network in the Diagnosis System: A Systematic Review
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An improved approach for prediction of Parkinson's disease using machine learning techniques
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Deep Learning-Aided Parkinson's Disease Diagnosis from Handwritten Dynamics
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A classification based Parkinson detection system
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Parkinson’s Disease Severity Estimation on Hungarian Speech Using Various Speech Tasks
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Suitability of Dysphonia Measurements for Telemonitoring of Parkinson's Disease
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Accurate Telemonitoring of Parkinson's Disease Progression by Noninvasive Speech Tests
inferredcites →https://doi.org/10.1109/tbme.2017.2779884openalex-snapshot
Tensor Decomposition of Gait Dynamics in Parkinson's Disease
inferredcites →https://doi.org/10.1109/telfor48224.2019.8971180openalex-snapshot
Classification of Parkinson’s Disease Using Dynamic Time Warping
inferredcites →https://doi.org/10.1109/trpms.2018.2877754openalex-snapshot
Machine Learning Based Classification Using Clinical and DaTSCAN SPECT Imaging Features: A Study on Parkinson’s Disease and SWEDD
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The genetic background of Parkinson's disease: current progress and future prospects
inferredcites →https://doi.org/10.1111/ene.14108openalex-snapshot
Parkinson disease
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The clinical symptoms of Parkinson's disease
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Tardive neurotoxicity of anticholinergic drugs: A review
inferredcites →https://doi.org/10.1142/s0129065719500114openalex-snapshot
Assisted Diagnosis of Parkinsonism Based on the Striatal Morphology
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SVM classification to distinguish Parkinson disease patients
inferredcites →https://doi.org/10.1152/jappl.2000.88.6.2045openalex-snapshot
Dynamic markers of altered gait rhythm in amyotrophic lateral sclerosis
inferredcites →https://doi.org/10.1155/2015/125273openalex-snapshot
Parkinsonism in Spinocerebellar Ataxia
inferredcites →https://doi.org/10.1155/2017/4201984openalex-snapshot
Dysphonic Voice Pattern Analysis of Patients in Parkinson’s Disease Using Minimum Interclass Probability Risk Feature Selection and Bagging Ensemble Learning Methods
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String Grammar Unsupervised Possibilistic Fuzzy C-Medians for Gait Pattern Classification in Patients with Neurodegenerative Diseases
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A New Approach to Diagnose Parkinson’s Disease Using a Structural Cooccurrence Matrix for a Similarity Analysis
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Classification of Gait Patterns in Patients with Neurodegenerative Disease Using Adaptive Neuro-Fuzzy Inference System
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Artificial Intelligence in Medicine: Chances and Challenges for Wide Clinical Adoption
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Application of Multi Layer Artificial Neural Network in the Diagnosis System: A Systematic Review
inferredcites →https://doi.org/10.1186/1475-925x-6-23openalex-snapshot
Exploiting Nonlinear Recurrence and Fractal Scaling Properties for Voice Disorder Detection
inferredcites →https://doi.org/10.1186/s40658-017-0196-1openalex-snapshot
Comparison of machine learning and semi-quantification algorithms for (I123)FP-CIT classification: the beginning of the end for semi-quantification?
inferredcites →https://doi.org/10.1212/wnl.0b013e318198e054openalex-snapshot
Genomic and proteomic biomarkers for Parkinson disease
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The challenge of clinical adoption—the insurmountable obstacle that will stop machine learning?
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A Supervised Machine Learning Approach using Different Feature Selection Techniques on Voice Datasets for Prediction of Parkinson’s Disease
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Will Artificial Intelligence Replace the Movement Disorders Specialist for Diagnosing and Managing Parkinson’s Disease?
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Fusion of WPT and MFCC feature extraction in Parkinson’s disease diagnosis
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Classification of Parkinson Disease Based on Patient’s Voice Signal Using Machine Learning
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Strategies for the Treatment of Parkinson’s Disease: Beyond Dopamine
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Machine Learning for the Diagnosis of Parkinson's Disease: A Review of Literature
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Machine Learning Approaches for Detecting Parkinson’s Disease from EEG Analysis: A Systematic Review
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Local Pattern Transformation Based Feature Extraction for Recognition of Parkinson’s Disease Based on Gait Signals
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Bias Investigation in Artificial Intelligence Systems for Early Detection of Parkinson’s Disease: A Narrative Review
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Improved Deep Learning Technique to Detect Freezing of Gait in Parkinson’s Disease Based on Wearable Sensors
inferredcites →https://doi.org/10.3390/healthcare9060740openalex-snapshot
The Role of Neural Network for the Detection of Parkinson’s Disease: A Scoping Review
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SNPs rs11240569, rs708727, and rs823156 in SLC41A1 Do Not Discriminate Between Slovak Patients with Idiopathic Parkinson’s Disease and Healthy Controls: Statistics and Machine-Learning Evidence
inferredcites →https://doi.org/10.3390/jimaging8040097openalex-snapshot
Machine Learning for Early Parkinson’s Disease Identification within SWEDD Group Using Clinical and DaTSCAN SPECT Imaging Features
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Automatic Spiral Analysis for Objective Assessment of Motor Symptoms in Parkinson’s Disease
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Feasible Classified Models for Parkinson Disease from 99mTc-TRODAT-1 SPECT Imaging
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Machine Learning Algorithms for Detection of Parkinson’s Disease using Motor Symptoms: Speech and Tremor
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Research in Parkinson′s disease in India: A review
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An Ensemble Method for Diagnosis of Parkinson's Disease Based on Voice Measurements
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Comparative Machine Learning Approach in Dementia Patient Classification using Principal Component Analysis

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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An Effective Machine Learning Techniques to Detect Parkinson's Disease
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Neurological Disorder Prediction: A Comprehensive Study of Parkinson’s Disease Prediction Using Machine Learning Algorithms
inferred← citeshttps://doi.org/10.1109/iccsp60870.2024.10543977openalex-snapshot
Early Diagnosis of Parkinson’s Disease Using Machine Learning
inferred← citeshttps://doi.org/10.1109/icdsis61070.2024.10594328openalex-snapshot
Application of Machine Learning and Data Analytics in Detection of Parkinsons Disease
inferred← citeshttps://doi.org/10.1109/icicacs57338.2023.10099526openalex-snapshot
A Smart Artificial Intelligence Method that Accounts for the Delusions and Hallucinations Exhibited by Schizophrenia
inferred← citeshttps://doi.org/10.1109/icicacs57338.2023.10099695openalex-snapshot
A Deep Learning Method for Predicting Disease Impact in Indolent Schizophrenia Applied to Psychiatry
inferred← citeshttps://doi.org/10.1109/icicacs57338.2023.10099872openalex-snapshot
Performance Analysis of an Inflammatory Process in the Bladder Cystitis Development using Machine Learning Approach
inferred← citeshttps://doi.org/10.1109/icicacs57338.2023.10099885openalex-snapshot
The Intelligent Detection and Treatment of Schizophrenia Disease Using the Fuzzy Logical Controller
inferred← citeshttps://doi.org/10.1109/icicacs57338.2023.10099887openalex-snapshot
A Machine Learning Method for Predictive Detection of Depression in Men with Schizophrenia
inferred← citeshttps://doi.org/10.1109/icicacs57338.2023.10099914openalex-snapshot
Identification and Monitoring of Urinary Organs in Women Genital System using Deep Learning Model
inferred← citeshttps://doi.org/10.1109/icicacs57338.2023.10099929openalex-snapshot
Analytical Scheme of the Color Test Carried Out on a Mental Disorder Patient-Time basis to Assess the Specific Meaning of Color
inferred← citeshttps://doi.org/10.1109/icicacs57338.2023.10099972openalex-snapshot
The Smart Analytical Electricity Monitoring and Management Model for Commercial Industrial Purpose using Industrial IoT
inferred← citeshttps://doi.org/10.1109/icicacs57338.2023.10100269openalex-snapshot
Improved Analysis of Inflammatory Diseases in Women using Artificial Intelligence based Approach
inferred← citeshttps://doi.org/10.1109/icics65354.2025.11073113openalex-snapshot
Early Detection of Parkinson'S Disease Using Voice-Based Machine Learning Analysis
inferred← citeshttps://doi.org/10.1109/icimrbe70745.2026.11709938openalex-snapshot
A Multimodal Approach to Parkinson’s Disease Classification Using Handwriting Dynamics
inferred← citeshttps://doi.org/10.1109/icisc65841.2025.11188216openalex-snapshot
Enhancing Parkinson's Disease Prediction Using Machine Learning Techniques
inferred← citeshttps://doi.org/10.1109/icoeca62351.2024.00177openalex-snapshot
Learning Disability Detection and Classification Analysis Between Two Classification Algorithms
inferred← citeshttps://doi.org/10.1109/icscds56580.2023.10104661openalex-snapshot
Analysis and Implementation of Machine Learning Model for Detection of Parkinson’s Disease
inferred← citeshttps://doi.org/10.1109/idsta58916.2023.10317845openalex-snapshot
Machine Learning Based Preemptive Diagnosis of Parkinson's Disease Using Saudi Clinical Data: A Preliminary Case Study on Saudi Arabia Dataset
inferred← citeshttps://doi.org/10.1109/nmitcon62075.2024.10698839openalex-snapshot
Enhancing Early Diagnosis of Parkinson’s Disease with Ensemble Machine Learning
inferred← citeshttps://doi.org/10.1109/stcr62650.2025.11020177openalex-snapshot
Enhanced Edge Detection and Segmentation Framework with Modified Yen's Thresholding for Parkinson Disease Diagnosis
inferred← citeshttps://doi.org/10.1109/tce.2026.3689688openalex-snapshot
Explainable AI (XAI) for Dysarthric Speech Detection Using Sequential Attention and Convolutional-Temporal Frameworks on Consumer Healthcare Devices
inferred← citeshttps://doi.org/10.1109/wconf58270.2023.10235004openalex-snapshot
Ensemble Technique based Parkison’s Disease Detection from FOG and EEG Signals
inferred← citeshttps://doi.org/10.11113/aej.v13.18777openalex-snapshot
MACHINE LEARNING METHODS FOR EARLY-STAGE DIAGNOSIS OF PARKINSON'S DISEASE THROUGH HANDWRITING DATA
inferred← citeshttps://doi.org/10.1177/20552076231173569openalex-snapshot
Wearable sensors and features for diagnosis of neurodegenerative diseases: A systematic review
inferred← citeshttps://doi.org/10.1186/s40537-024-01049-7openalex-snapshot
Artificial intelligence’s impact on drug delivery in healthcare supply chain management: data, techniques, analysis, and managerial implications
inferred← citeshttps://doi.org/10.13005/bpj/3403openalex-snapshot
Integrating AI with Neurogenetics: Applications in Precision Medicine for Neurological Disorders
inferred← citeshttps://doi.org/10.13052/rp-9788770040723.217openalex-snapshot
Parkinson Disease Prediction Using Deep Learning Algorithm
inferred← citeshttps://doi.org/10.1371/journal.pone.0284667openalex-snapshot
Ataxic speech disorders and Parkinson’s disease diagnostics via stochastic embedding of empirical mode decomposition
inferred← citeshttps://doi.org/10.17488/rmib.44.4.9openalex-snapshot
Classification of Daily Living Activities in subjects with Parkinson’s Disease using Artificial Neural Networks
inferred← citeshttps://doi.org/10.20944/preprints202312.2268.v1openalex-snapshot
Preemptive Diagnosis of Parkinson's Disease through DaT Scans using InceptionV3-based Convolutional Neural Networks
inferred← citeshttps://doi.org/10.21203/rs.3.rs-10316519/v1openalex-snapshot
Speech and Voice Biomarkers for Parkinson’s disease Detection: A Systematic Review of Machine Learning and Deep Learning Models
inferred← citeshttps://doi.org/10.2478/ijssis-2024-0008openalex-snapshot
Automated Parkinson's Disease Detection: A Review of Techniques, Datasets, Modalities, and Open Challenges
inferred← citeshttps://doi.org/10.3389/fnagi.2023.1199826openalex-snapshot
The differential diagnosis value of radiomics-based machine learning in Parkinson’s disease: a systematic review and meta-analysis
inferred← citeshttps://doi.org/10.3389/fnagi.2025.1602426openalex-snapshot
Motor symptoms of Parkinson’s disease: critical markers for early AI-assisted diagnosis
inferred← citeshttps://doi.org/10.3389/fnagi.2026.1774177openalex-snapshot
Toward future diagnostics of Parkinson's disease: a perspective on multimodal motor assessment and personalized digital twins
inferred← citeshttps://doi.org/10.3389/fncom.2025.1660963openalex-snapshot
CRISP: a correlation-filtered recursive feature elimination and integration of SMOTE pipeline for gait-based Parkinson’s disease screening
inferred← citeshttps://doi.org/10.3389/fphys.2023.1066718openalex-snapshot
Effects of aquatic exercise on the improvement of lower-extremity motor function and quality of life in patients with Parkinson’s disease: A meta-analysis
inferred← citeshttps://doi.org/10.3390/app151910541openalex-snapshot
Collecting, Integrating and Processing IoT Sensor Data on Edge Devices for PD Monitoring: A Scoping Review
inferred← citeshttps://doi.org/10.3390/bioengineering10030386openalex-snapshot
User Perceptions of ROTEM-Guided Haemostatic Resuscitation: A Mixed Qualitative–Quantitative Study
inferred← citeshttps://doi.org/10.3390/biomedinformatics4010009openalex-snapshot
Machine Learning Analysis of Genomic Factors Influencing Hyperbaric Oxygen Therapy in Parkinson’s Disease
inferred← citeshttps://doi.org/10.3390/diagnostics12112708openalex-snapshot
A Computerized Analysis with Machine Learning Techniques for the Diagnosis of Parkinson’s Disease: Past Studies and Future Perspectives
inferred← citeshttps://doi.org/10.3390/diagnostics15222892openalex-snapshot
An Explainable Ensemble and Deep Learning Framework for Accurate and Interpretable Parkinson’s Disease Detection from Voice Biomarkers
inferred← citeshttps://doi.org/10.3390/electronics11223782openalex-snapshot
An Efficient Machine Learning Approach for Diagnosing Parkinson’s Disease by Utilizing Voice Features
inferred← citeshttps://doi.org/10.3390/electronics12183805openalex-snapshot
Software Requirement Risk Prediction Using Enhanced Fuzzy Induction Models
inferred← citeshttps://doi.org/10.3390/pr14020199openalex-snapshot
AI in Parkinson’s Disease: A Short Review of Machine Learning Approaches for Diagnosis
inferred← citeshttps://doi.org/10.4018/978-1-6684-7348-1.ch003openalex-snapshot
Digital World of Cloud Computing and Wireless Networking
inferred← citeshttps://doi.org/10.4018/979-8-3693-0786-1.ch008openalex-snapshot
Harnessing the Power of Machine Learning for Parkinson's Disease Detection
inferred← citeshttps://doi.org/10.4018/979-8-3693-1115-8.ch004openalex-snapshot
Unmasking the Movements
inferred← citeshttps://doi.org/10.4018/979-8-3693-1115-8.ch017openalex-snapshot
Identifying Parkinson's Patients by a Functional Gradient Boosting Approach
inferred← citeshttps://doi.org/10.5565/rev/elcvia.2076openalex-snapshot
Binary Grey Wolf Optimizer Biased Feature Selection for Parkinson's Disease Detection
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