ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2023
Prediction of neuropathologic lesions from clinical data.
Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Chronological Diagnostic Algorithm Predicting Neuropathology in Parkinsonism.Annals of neurology · 2026Article
- Micro infarcts are associated with cognitive impairment in neurofibrillary tangle predominant decedents: evidence from the NACC autopsy cohort.Alzheimer's research & therapy · 2025Article
- Identifying dementia neuropathology using low-burden clinical data.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Age-dependent interactions of APOE isoform 4 and Alzheimer's disease neuropathology: findings from the NACC.Acta neuropathologica communications · 2025Article
- High rates of diagnostic discordance and co-pathology: Insights into PSP from the NACC dataset.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- The impact of arteriolosclerosis on cognitive impairment in decedents without severe dementia from the National Alzheimer's Coordinating Center.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Artificial Intelligence in Perioperative Care: Opportunities and Challenges.Anesthesiology · 2024Article
- Inferring Alzheimer's disease pathologic traits from clinical measures in living adults.medRxiv : the preprint server for health sciences · 2024Article
- Inferring Alzheimer's Disease Pathologic Traits from Clinical Measures in Living Adults.Journal of Alzheimer's disease : JAD · 2024Article
- Quantitative estimate of cognitive resilience and its medical and genetic associations.Alzheimer's research & therapy · 2023Article
- Understanding the molecular basis of resilience to Alzheimer's disease.Frontiers in neuroscience · 2023Review
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24 authors.
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Abstract
introductionPost-mortem analysis provides definitive diagnoses of neurodegenerative diseases; however, only a few can be diagnosed during life.
methodsThis study employed statistical tools and machine learning to predict 17 neuropathologic lesions from a cohort of 6518 individuals using 381 clinical features (Table S1). The multisite data allowed validation of the model's robustness by splitting train/test sets by clinical sites. A similar study was performed for predicting Alzheimer's disease (AD) neuropathologic change without specific comorbidities.
resultsPrediction results show high performance for certain lesions that match or exceed that of research annotation. Neurodegenerative comorbidities in addition to AD neuropathologic change resulted in compounded, but disproportionate, effects across cognitive domains as the comorbidity number increased. DISCUSSION: Certain clinical features could be strongly associated with multiple neurodegenerative diseases, others were lesion-specific, and some were divergent between lesions. Our approach could benefit clinical research, and genetic and biomarker research by enriching cohorts for desired lesions.
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