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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 03, 2024
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Identifying dementia from cognitive footprints in hospital records among Chinese older adults: a machine-learning study.
Jiayi Zhou et al. Lancet Reg Health West Pac 2024 46101060
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Machine learning prediction of future amyloid beta positivity in amyloid-negative individuals.
Elaheh Moradi et al. Alzheimers Res Ther 2024 16(1) 46
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Ranking and filtering of neuropathology features in the machine learning evaluation of dementia studies.
Mohammed D Rajab et al. Brain Pathol 2024 e13247
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Predictive deep learning models for cognitive risk using accessible data.
Kenji Karako et al. Biosci Trends 2024
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Applications of Artificial Intelligence in the Neuropsychological Assessment of Dementia: A Systematic Review.
Isabella Veneziani et al. J Pers Med 2024 14(1)
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Exploring the Value of MRI Measurement of Hippocampal Volume for Predicting the Occurrence and Progression of Alzheimer's Disease Based on Artificial Intelligence Deep Learning Technology and Evidence-Based Medicine Meta-Analysis.
Jianguo Zhou et al. J Alzheimers Dis 2024
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A Case-Control Clinical Trial on a Deep Learning-Based Classification System for Diagnosis of Amyloid-Positive Alzheimer's Disease.
Jong Bin Bae et al. Psychiatry Investig 2024 20(12) 1195-1203
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Rethinking Dementia Risk Prediction: A Critical Evaluation of a Multimodal Machine Learning Predictive Model.
Silvia Ottaviani et al. J Alzheimers Dis 2024
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What Does ChatGPT Know About Dementia? A Comparative Analysis of Information Quality.
Jill A Dosso et al. J Alzheimers Dis 2023
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Predicting Dementia Risk for Elderly Community Dwellers in Primary Care Services Using Subgroup-specific Prediction Models.
Stephen Wai Hang Kwok et al. Annu Int Conf IEEE Eng Med Biol Soc 2023 20231-4
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Effect of Comorbidities Features in Machine Learning Models for Survival Analysis to Predict Prodromal Alzheimer's Disease.
Ferial Abuhantash et al. Annu Int Conf IEEE Eng Med Biol Soc 2023 20231-4
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LETHE: A Digital Intervention for Cognitive Decline.
Vasileios S Loukas et al. Annu Int Conf IEEE Eng Med Biol Soc 2023 20231-4
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Detection of Cognitive Impairment From eSAGE Metadata Using Machine Learning.
Ryoma Kawakami et al. Alzheimer Dis Assoc Disord 2023
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Predicting mild cognitive impairment among Chinese older adults: a longitudinal study based on long short-term memory networks and machine learning.
Yucheng Huang et al. Front Aging Neurosci 2023 151283243
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Deep Learning of Speech Data for Early Detection of Alzheimer's Disease in the Elderly.
Kichan Ahn et al. Bioengineering (Basel) 2023 10(9)
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Artificial intelligence for biomarker discovery in Alzheimer's disease and dementia.
Laura M Winchester et al. Alzheimers Dement 2023
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Radiomics and Artificial Intelligence for the Diagnosis and Monitoring of Alzheimer's Disease: A Systematic Review of Studies in the Field.
Roberta Bevilacqua et al. J Clin Med 2023 12(16)
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Artificial intelligence for dementia research methods optimization.
Magda Bucholc et al. Alzheimers Dement 2023
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Artificial intelligence for diagnostic and prognostic neuroimaging in dementia: A systematic review.
Robin J Borchert et al. Alzheimers Dement 2023
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Artificial intelligence for dementia-Applied models and digital health.
Donald M Lyall et al. Alzheimers Dement 2023
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PROSA-a multicenter prospective observational study to develop low-burden digital speech biomarkers in ALS and FTD.
Johannes Tröger et al. Amyotroph Lateral Scler Frontotemporal Degener 2023 1-10
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HomeADScreen: Developing Alzheimer's disease and related dementia risk identification model in home healthcare.
Maryam Zolnoori et al. Int J Med Inform 2023 177105146
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Development and validation of an interpretable machine learning model-Predicting mild cognitive impairment in a high-risk stroke population.
Feng-Juan Yan et al. Front Aging Neurosci 2023 151180351
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Characterizing subgroup performance of probabilistic phenotype algorithms within older adults: a case study for dementia, mild cognitive impairment, and Alzheimer's and Parkinson's diseases.
Juan M Banda et al. JAMIA Open 2023 6(2) ooad043
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The reporting of neuropsychiatric symptoms in electronic health records of individuals with Alzheimer's disease: a natural language processing study.
Willem S Eikelboom et al. Alzheimers Res Ther 2023 15(1) 94
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Explainable semi-supervised deep learning shows that dementia is associated with small, avocado-shaped clocks with irregularly placed hands.
Sabyasachi Bandyopadhyay et al. Sci Rep 2023 13(1) 7384
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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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Ambient Monitoring of Gait and Machine Learning Models for Dynamic and Short-Term Falls Risk Assessment in People With Dementia.
Vida Adeli et al. IEEE J Biomed Health Inform 2023 PP
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Early prediction of delirium upon intensive care unit admission: Model development, validation, and deployment.
Man-Ling Wang et al. J Clin Anesth 2023 88111121
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Deep learning-based EEG analysis to classify normal, mild cognitive impairment, and dementia: algorithms and dataset.
Min-Jae Kim et al. NeuroImage 2023 120054
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Page last reviewed:
Feb 1, 2024
Page last updated:
May 03, 2024
Content source:
Public Health Genomics Branch in the Division of Blood Disorders and Public Health Genomics
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National Center on Birth Defects and Developmental Disabilities
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