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Public Health Genomics and Precision Health Knowledge Base (v9.0)
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Precision Health Database|Search|Public Health Genomics and Precision Health Knowledge Base (PHGKB)
Last data update: May 18, 2024
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Explainable machine learning for predicting conversion to neurological disease: Results from 52,939 medical records.
Christina Felix et al. Digit Health 2024 1020552076241249286
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Improved measurement of disease progression in people living with early Parkinson's disease using digital health technologies.
Matthew D Czech et al. Commun Med (Lond) 2024 4(1) 49
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Investigating the efficacy and importance of mobile-based assessments for Parkinson's disease: uncovering the potential of novel digital tests.
Yanci Zhang et al. Sci Rep 2024 14(1) 5307
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Unveiling the Diagnostic Potential of Linguistic Markers in Identifying Individuals with Parkinson's Disease through Artificial Intelligence: A Systematic Review.
Cinzia Palmirotta et al. Brain Sci 2024 14(2)
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A review of machine learning and deep learning algorithms for Parkinson's disease detection using handwriting and voice datasets.
Md Ariful Islam et al. Heliyon 2024 10(3) e25469
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Automatic diagnosis of Parkinson's disease using artificial intelligence base on routine T1-weighted MRI.
Chang Li et al. Front Med (Lausanne) 2024 101303501
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Parkinson's disease tremor prediction using EEG data analysis-A preliminary and feasibility study.
Sajjad Farashi et al. BMC Neurol 2023 23(1) 420
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A framework for integrating artificial intelligence for clinical care with continuous therapeutic monitoring.
Emma Chen et al. Nat Biomed Eng 2023
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Multi-Level Ethical Considerations of Artificial Intelligence Health Monitoring for People Living with Parkinson's Disease.
Anita Ho et al. AJOB Empir Bioeth 2023 1-14
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AI detects eye disease and risk of Parkinson's from retinal images.
Mariana Lenharo et al. Nature 2023
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Machine learning models for diagnosis and prognosis of Parkinson's disease using brain imaging: general overview, main challenges, and future directions.
Beatriz Garcia Santa Cruz et al. Front Aging Neurosci 2023 151216163
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The advantages of artificial intelligence-based gait assessment in detecting, predicting, and managing Parkinson's disease.
Peng Wu et al. Front Aging Neurosci 2023 151191378
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Externally validated deep learning model to identify prodromal Parkinson's disease from electrocardiogram.
Ibrahim Karabayir et al. Sci Rep 2023 13(1) 12290
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The differential diagnosis value of radiomics-based machine learning in Parkinson's disease: a systematic review and meta-analysis.
Jiaxiang Bian et al. Front Aging Neurosci 2023 151199826
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Wearable movement-tracking data identify Parkinson's disease years before clinical diagnosis.
Ann-Kathrin Schalkamp et al. Nat Med 2023
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Contactless evaluation of rigidity in Parkinson's disease by machine vision and machine learning.
Xue Zhu et al. Chin Med J (Engl) 2023
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Machine Learning-Based Prediction of Functional Disability: a Cohort Study of Japanese Older Adults in 2013-2019.
Yongjian Lu et al. J Gen Intern Med 2023
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Recent trends in wearable device used to detect freezing of gait and falls in people with Parkinson's disease: A systematic review.
Tinghuai Huang et al. Frontiers in aging neuroscience 2023 151119956
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Bayesian network modeling of risk and prodromal markers of Parkinson's disease.
Meemansa Sood et al. PloS one 2023 18(2) e0280609
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Review of Technological Challenges in Personalised Medicine and Early Diagnosis of Neurodegenerative Disorders.
Celtia Domínguez-Fernández et al. International journal of molecular sciences 2023 24(4)
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Improved Parkinsonian tremor quantification based on automatic label modification and SVM with RBF kernel.
Yumin Li et al. Physiological measurement 2023
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Real-time detection of freezing of gait in Parkinson's disease using multi-head convolutional neural networks and a single inertial sensor.
Borzì Luigi et al. Artificial intelligence in medicine 2023 135102459
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Whole-brain dynamical modelling for classification of Parkinson's disease.
Jung Kyesam et al. Brain communications 2023 5(1) fcac331
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Machine Learning and Wearable Sensors for the Early Detection of Balance Disorders in Parkinson's Disease.
Castelli Gattinara Di Zubiena Francesco et al. Sensors (Basel, Switzerland) 2022 22(24)
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Management of Parkinson's Disease Dysarthria: Can Artificial Intelligence Provide the Solution?
Kumar Raj et al. Annals of Indian Academy of Neurology 2022 25(5) 810-816
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From ‘wearables’ to ‘invisibles’
K O'Leary, Nature Medicine, December 22, 2022
Artificial Intelligence Tools to Evaluate Language and Speech Patterns in Alzheimer's Disease.
Favaro Anna et al. Alzheimer's & dementia : the journal of the Alzheimer's Association 2022 18 Suppl 2e064913
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Identification and prediction of Parkinson's disease subtypes and progression using machine learning in two cohorts.
Dadu Anant et al. NPJ Parkinson's disease 2022 8(1) 172
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Determination of the motor status of patients with advanced Parkinson's disease under levodopa-carbidopa intestinal gel using a machine learning model.
Efthymiopoulou Efthymia et al. Acta neurologica Belgica 2022
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Machine learning can predict mild cognitive impairment in Parkinson's disease.
Amboni Marianna et al. Frontiers in neurology 2022 131010147
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Page last reviewed:
Feb 1, 2024
Page last updated:
May 18, 2024
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Public Health Genomics Branch in the Division of Blood Disorders and Public Health Genomics
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