ArticleParkinson's disease2017
Can a Smartphone Diagnose Parkinson Disease? A Deep Neural Network Method and Telediagnosis System Implementation.
Article in Parkinson's disease, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.
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Who cites it
23 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Internet of Things Technologies and Machine Learning Methods for Parkinson's Disease Diagnosis, Monitoring and Management: A Systematic Review.Sensors (Basel, Switzerland) · 2022Pooled it
- Prevalence and Diagnosis of Neurological Disorders Using Different Deep Learning Techniques: A Meta-Analysis.Journal of medical systems · 2020Pooled it
- Applications of Artificial Intelligence in Neurological Voice Disorders.World journal of otorhinolaryngology - head and neck surgery · 2025Review
- Constructing a disease-specific ceRNA coregulatory network for keratoconus diagnosis and landscape of the immune environment.International ophthalmology · 2025Article
- A Comprehensive Review on Deep Learning Techniques in Alzheimer's Disease Diagnosis.Current topics in medicinal chemistry · 2025Review
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- Parkinson's disease detection based on features refinement through L1 regularized SVM and deep neural network.Scientific reports · 2024Article
- Using sustained vowels to identify patients with mild Parkinson's disease in a Chinese dataset.Frontiers in aging neuroscience · 2024Article
- End-to-End Deep Learning Method for Detection of Invasive Parkinson's Disease.Diagnostics (Basel, Switzerland) · 2023Article
- Deep-learning detection of mild cognitive impairment from sleep electroencephalography for patients with Parkinson's disease.PloS one · 2023Article
- A novel automated Parkinson's disease identification approach using deep learning and EEG.PeerJ. Computer science · 2023Article
- Telediagnosis of dental caries: Possible or impossible? A pilot cross-sectional study.Clinical and experimental dental research · 2022Article
- Early detection of Parkinson's disease from multiple signal speech: Based on Mandarin language dataset.Frontiers in aging neuroscience · 2022Article
- Resting-state electroencephalography based deep-learning for the detection of Parkinson's disease.PloS one · 2022Article
- A mobile-assisted voice condition analysis system for Parkinson's disease: assessment of usability conditions.Biomedical engineering online · 2021Article
- Vocal Feature Extraction-Based Artificial Intelligent Model for Parkinson's Disease Detection.Diagnostics (Basel, Switzerland) · 2021Article
- Digital Technology in Movement Disorders: Updates, Applications, and Challenges.Current neurology and neuroscience reports · 2021Review
- Prediction of Freezing of Gait in Parkinson's Disease Using a Random Forest Model Based on an Orthogonal Experimental Design: A Pilot Study.Frontiers in human neuroscience · 2021Article
- Insight into an unsupervised two-step sparse transfer learning algorithm for speech diagnosis of Parkinson's disease.Neural computing & applications · 2021Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Parkinson's disease (PD) is primarily diagnosed by clinical examinations, such as walking test, handwriting test, and MRI diagnostic. In this paper, we propose a machine learning based PD telediagnosis method for smartphone. Classification of PD using speech records is a challenging task owing to the fact that the classification accuracy is still lower than doctor-level. Here we demonstrate automatic classification of PD using time frequency features, stacked autoencoders (SAE), and
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.