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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: Apr 25, 2024
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Performance Evaluation of Deep, Shallow and Ensemble Machine Learning Methods for the Automated Classification of Alzheimer's Disease.
Noushath Shaffi et al. Int J Neural Syst 2024 2450029
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Interpreting artificial intelligence models: a systematic review on the application of LIME and SHAP in Alzheimer's disease detection.
Viswan Vimbi et al. Brain Inform 2024 11(1) 10
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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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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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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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Early Stage Detection of Alzheimer's Disease With Microsoft Azure Based Deep Learning.
Krish Mittal et al. Res Sq 2023
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Real-world prediction of preclinical Alzheimer's disease with a deep generative model.
Uiwon Hwang et al. Artif Intell Med 2023 144102654
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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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Paving the Way for Predicting the Progression of Cognitive Decline: The Potential Role of Machine Learning Algorithms in the Clinical Management of Neurodegenerative Disorders.
Caterina Formica et al. J Pers Med 2023 13(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 diagnostic and prognostic neuroimaging in dementia: A systematic review.
Robin J Borchert et al. Alzheimers Dement 2023
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XGBoost-SHAP-based interpretable diagnostic framework for alzheimer's disease.
Fuliang Yi et al. BMC Med Inform Decis Mak 2023 23(1) 137
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Development and validation of a deep-broad ensemble model for early detection of Alzheimer's disease.
Peixian Ma et al. Front Neurosci 2023 171137557
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Radiomics for Alzheimer's Disease: Fundamental Principles and Clinical Applications.
Eleni Georgiadou et al. Adv Exp Med Biol 2023 1424297-311
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Using artificial intelligence to learn optimal regimen plan for Alzheimer's disease.
Kritib Bhattarai et al. J Am Med Inform Assoc 2023
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Identifying healthy individuals with Alzheimer’s disease neuroimaging phenotypes in the UK Biobank
T Azevedo et al, Comm Med, July 20, 2023
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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AD-BERT: Using Pre-trained Language Model to Predict the Progression from Mild Cognitive Impairment to Alzheimer's Disease.
Chengsheng Mao et al. J Biomed Inform 2023 104442
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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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Passive digital markers for Alzheimer's disease and other related dementias: A systematic evidence review.
Britain Taylor et al. J Am Geriatr Soc 2023
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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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Machine learning for the prediction of cognitive impairment in older adults.
Wanyue Li et al. Front Neurosci 2023 171158141
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Use of artificial intelligence techniques for detection of mild cognitive impairment: A systematic scoping review.
Li JuanVivian Quek et al. J Clin Nurs 2023
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Functional activity level reported by an informant is an early predictor of Alzheimer's disease.
Alexandra Vik et al. BMC geriatrics 2023 23(1) 205
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Predicting Conversion from Subjective Cognitive Decline to Mild Cognitive Impairment and Alzheimer's Disease Dementia Using Ensemble Machine Learning.
Marta M Dolcet-Negre et al. Journal of Alzheimer's disease : JAD 2023
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Page last reviewed:
Feb 1, 2024
Page last updated:
Apr 25, 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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