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Precision Health Database


Genomics & Health Impact Scan Database|Search|PHGKB

Neurological Disorders

Last data update: Nov 30, 2021. (Total: 43681 Documents since 2012)
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Prediction of large vessel occlusion for ischaemic stroke by using the machine learning model random forests.
Wang Jianan et al. Stroke and vascular neurology 2021
Digital Endpoints: Definition, Benefits, and Current Barriers in Accelerating Development and Adoption.
Landers Matthew et al. Digital biomarkers 2021 5(3) 216-223
Accuracy and Prognostic Role of NCCT-ASPECTS Depend on Time from Acute Stroke Symptom-onset for both Human and Machine-learning Based Evaluation.
Potreck A et al. Clinical neuroradiology 2021
Cluster Analysis of Cardiovascular Phenotypes in Patients With Type 2 Diabetes and Established Atherosclerotic Cardiovascular Disease: A Potential Approach to Precision Medicine.
Sharma Abhinav et al. Diabetes care 2021
Predicting future amyloid biomarkers in dementia patients with machine learning to improve clinical trial patient selection.
Reith Fabian H et al. Alzheimer's & dementia (New York, N. Y.) 2021 7(1) e12212
Artificial Intelligence and Computer Vision in Low Back Pain: A Systematic Review.
D'Antoni Federico et al. International journal of environmental research and public health 2021 18(20)
Machine Learning Techniques for Personalised Medicine Approaches in Immune-Mediated Chronic Inflammatory Diseases: Applications and Challenges.
Peng Junjie et al. Frontiers in pharmacology 2021 12720694
Management and Treatment of Patients With Obstructive Sleep Apnea Using an Intelligent Monitoring System Based on Machine Learning Aiming to Improve Continuous Positive Airway Pressure Treatment Compliance: Randomized Controlled Trial.
Turino Cecilia et al. Journal of medical Internet research 2021 23(10) e24072
Investigation of a dysmorphic facial phenotype in patients with Gaucher disease types 2 and 3.
Daykin Emily et al. Molecular genetics and metabolism 2021
Emo-mirror: a proposal to support emotion recognition in children with autism spectrum disorders.
Pavez Rodolfo et al. Neural computing & applications 2021 1-12
Artificial intelligence for hepatitis evaluation.
Liu Wei et al. World journal of gastroenterology 2021 27(34) 5715-5726
Investigating Predictors of Preserved Cognitive Function in Older Women Using Machine Learning: Women's Health Initiative Memory Study.
Casanova Ramon et al. Journal of Alzheimer's disease : JAD 2021
Estimated connectivity networks outperform observed connectivity networks when classifying people with multiple sclerosis into disability groups.
Tozlu Ceren et al. NeuroImage. Clinical 2021 32102827
Predicting Parkinson's Disease and Its Pathology via Simple Clinical Variables.
Karabayir Ibrahim et al. Journal of Parkinson's disease 2021
Comparison of machine learning algorithms applied to symptoms to determine infectious causes of death in children: national survey of 18,000 verbal autopsies in the Million Death Study in India.
Idicula-Thomas Susan et al. BMC public health 2021 21(1) 1787
Prediction of incident atrial fibrillation in community-based electronic health records: a systematic review with meta-analysis.
Nadarajah Ramesh et al. Heart (British Cardiac Society) 2021
Machine learning methods for predicting progression from mild cognitive impairment to Alzheimer's disease dementia: a systematic review.
Grueso Sergio et al. Alzheimer's research & therapy 2021 13(1) 162
A UK-Wide Study Employing Natural Language Processing to Determine What Matters to People about Brain Health to Improve Drug Development: The Electronic Person-Specific Outcome Measure (ePSOM) Programme.
Saunders S et al. The journal of prevention of Alzheimer's disease 2021 8(4) 448-456
Data-Driven Prediction of Fatigue in Parkinson's Disease Patients.
Lee Dong Goo et al. Frontiers in artificial intelligence 2021 4678678
Prediction of post-stroke cognitive impairment using brain FDG PET: deep learning-based approach.
Lee Reeree et al. European journal of nuclear medicine and molecular imaging 2021
Cost-effectiveness of artificial intelligence aided vessel occlusion detection in acute stroke: an early health technology assessment.
van Leeuwen Kicky G et al. Insights into imaging 2021 12(1) 133
A Systematic Review of Machine Learning Based Gait characteristics in Parkinson's disease.
Sharma Pooja et al. Mini reviews in medicinal chemistry 2021
Systematic Mapping Study of AI/Machine Learning in Healthcare and Future Directions.
Parashar Gaurav et al. SN computer science 2021 2(6) 461
Integrating domain knowledge with machine learning to detect obstructive sleep apnea: Snore as a significant bio-feature.
Hsu Yu-Ching et al. Journal of sleep research 2021 e13487
Clinical decision support for severe trauma patients : Machine Learning based definition of a bundle of care for Hemorrhagic Shock and Traumatic Brain Injury.
Lang E et al. The journal of trauma and acute care surgery 2021
Using machine learning methods to predict hepatic encephalopathy in cirrhotic patients with unbalanced data.
Yang Hong et al. Computer methods and programs in biomedicine 2021 211106420
Detection of ataxia in low disability MS patients by hybrid convolutional neural networks based on images of plantar pressure distribution.
Balgetir Ferhat et al. Multiple sclerosis and related disorders 2021 56103261
Effects of an Artificial Intelligence-Assisted Health Program on Workers With Neck/Shoulder Pain/Stiffness and Low Back Pain: Randomized Controlled Trial.
Anan Tomomi et al. JMIR mHealth and uHealth 2021 9(9) e27535
Assessment of Artificial Intelligence Automatic Multiple Sclerosis Lesion Delineation Tool for Clinical Use.
Hindsholm Amalie Monberg et al. Clinical neuroradiology 2021
Heuristic scoring method utilizing FDG-PET statistical parametric mapping in the evaluation of suspected Alzheimer disease and frontotemporal lobar degeneration.
Ford Jeremy N et al. American journal of nuclear medicine and molecular imaging 2021 11(4) 313-326
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