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Integrative machine learning approach to risk prediction for dementia and Alzheimer's disease.
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Integrative machine learning approach to risk prediction for dementia and Alzheimer's disease.
Stern A, Linial M
Abstract
Dementia, particularly Alzheimer's disease (AD), presents a growing global health challenge characterized by cognitive decline, behavioral changes, and loss of independence. With increasing life expectancy, early diagnosis and improved clinical strategies are urgently needed. This study developed and evaluated machine learning (ML) models to predict AD risk using UK Biobank data, integrating health, genetic, and lifestyle factors. The cohort included 2878 AD cases and 72,366 controls. Among seve...
▸Metadata
| doi | doi: 10.1007/s11357-025-01828-x |
| pmid | 40864401 |
| year | 2026 |
| pmc_id | None |
| _origin | {'url': 'https://pubmed.ncbi.nlm.nih.gov/40864401/', 'type': 'external', 'tracked_at': '2026-04-23T20:17:19.231756'} |
| authors | ['Stern A', 'Linial M'] |
| journal | Geroscience |
| _schema_version | 1 |
| quality_scoring | {'quality_status_review': {'status': 'pass', 'signals': ['has_provenance_chain', 'has_metadata'], 'task_id': '3854fa92-f632-4cba-be41-396420da7151', 'rationale': 'quality_status assigned by automated |
📊 Evidence Profile
Evidence Balance
+0%
Certainty
20%
Debates
0
Incoming
4
Outgoing
3
0 supporting
0 contradicting
0 neutral
🌍 Provenance Graph
113 nodes, 306 edges
derives from (6)
hypothesis-h-44195347→analysis-SDA-2026-04-01-gap-01analysis-SDA-2026-04-01-gap-01→hypothesis-h-44195347analysis-SDA-2026-04-01-gap-01→hypothesis-h-d0a564e8analysis-SDA-2026-04-01-gap-01→hypothesis-h-11795af0hypothesis-h-d0a564e8→analysis-SDA-2026-04-01-gap-01
▸ Show 1 more
supports (291)
paper-40864401→hypothesis-h-44195347hypothesis-h-44195347→wiki-convergence-synthesis-sphhypothesis-h-44195347→wiki-convergence-synthesis-apohypothesis-h-44195347→paper-41940854paper-41940854→hypothesis-h-44195347
▸ Show 286 more
paper-41940854→hypothesis-h-d0a564e8paper-41940854→hypothesis-h-11795af0hypothesis-h-44195347→paper-37957317paper-37957317→hypothesis-h-44195347paper-37957317→hypothesis-h-11795af0hypothesis-h-44195347→paper-37995685paper-37995685→hypothesis-h-44195347paper-37995685→hypothesis-h-11795af0hypothesis-h-44195347→paper-37805344paper-37805344→hypothesis-h-44195347paper-37805344→hypothesis-h-11795af0hypothesis-h-44195347→paper-30335591paper-30335591→hypothesis-h-44195347hypothesis-h-44195347→paper-33891876paper-33891876→hypothesis-h-44195347hypothesis-h-44195347→paper-27365453paper-27365453→hypothesis-h-44195347hypothesis-h-44195347→paper-35659112paper-35659112→hypothesis-h-44195347hypothesis-h-44195347→paper-38507480paper-38507480→hypothesis-h-44195347hypothesis-h-44195347→paper-38266641paper-38266641→hypothesis-h-44195347hypothesis-h-44195347→paper-27097127paper-27097127→hypothesis-h-44195347hypothesis-h-44195347→paper-31367008paper-31367008→hypothesis-h-44195347paper-31367008→hypothesis-h-11795af0hypothesis-h-44195347→paper-41914296paper-41914296→hypothesis-h-44195347paper-41914296→hypothesis-h-d0a564e8hypothesis-h-44195347→paper-41912201paper-41912201→hypothesis-h-44195347paper-41912201→hypothesis-h-d0a564e8paper-41912201→hypothesis-h-11795af0hypothesis-h-44195347→paper-41911088paper-41911088→hypothesis-h-44195347paper-41911088→hypothesis-h-d0a564e8hypothesis-h-44195347→paper-41905956paper-41905956→hypothesis-h-44195347hypothesis-h-44195347→paper-41905188paper-41905188→hypothesis-h-44195347paper-41905188→hypothesis-h-d0a564e8paper-41905188→hypothesis-h-11795af0hypothesis-h-44195347→paper-41445196paper-41445196→hypothesis-h-44195347paper-41445196→hypothesis-h-11795af0hypothesis-h-44195347→paper-41101204paper-41101204→hypothesis-h-44195347paper-41101204→hypothesis-h-11795af0hypothesis-h-44195347→paper-40864401hypothesis-h-44195347→paper-41565199paper-41565199→hypothesis-h-44195347hypothesis-h-44195347→paper-41283974paper-41283974→hypothesis-h-44195347paper-41283974→hypothesis-h-d0a564e8hypothesis-h-44195347→paper-40562635paper-40562635→hypothesis-h-44195347paper-40562635→hypothesis-h-d0a564e8paper-40562635→hypothesis-h-11795af0hypothesis-h-44195347→paper-40145985paper-40145985→hypothesis-h-44195347paper-40145985→hypothesis-h-d0a564e8paper-40145985→hypothesis-h-11795af0hypothesis-h-44195347→paper-40615639paper-40615639→hypothesis-h-44195347paper-40615639→hypothesis-h-d0a564e8paper-40615639→hypothesis-h-11795af0hypothesis-h-44195347→paper-41531227paper-41531227→hypothesis-h-44195347paper-41531227→hypothesis-h-d0a564e8paper-41531227→hypothesis-h-11795af0hypothesis-h-44195347→paper-41936045paper-41936045→hypothesis-h-44195347paper-41936045→hypothesis-h-d0a564e8paper-41936045→hypothesis-h-11795af0hypothesis-h-44195347→paper-41930593paper-41930593→hypothesis-h-44195347paper-41930593→hypothesis-h-d0a564e8paper-41930593→hypothesis-h-11795af0hypothesis-h-44195347→paper-41934727paper-41934727→hypothesis-h-44195347paper-41934727→hypothesis-h-11795af0hypothesis-h-44195347→paper-41950435paper-41950435→hypothesis-h-44195347paper-41950435→hypothesis-h-d0a564e8hypothesis-h-44195347→paper-41943971paper-41943971→hypothesis-h-44195347paper-41943971→hypothesis-h-d0a564e8hypothesis-h-44195347→paper-41942760paper-41942760→hypothesis-h-44195347paper-41942760→hypothesis-h-d0a564e8hypothesis-h-44195347→paper-41936348paper-41936348→hypothesis-h-44195347paper-41936348→hypothesis-h-d0a564e8hypothesis-h-44195347→paper-41964836paper-41964836→hypothesis-h-44195347hypothesis-h-44195347→paper-41962782paper-41962782→hypothesis-h-44195347paper-41962782→hypothesis-h-d0a564e8hypothesis-h-44195347→paper-41651379paper-41651379→hypothesis-h-44195347paper-41651379→hypothesis-h-d0a564e8hypothesis-h-44195347→paper-41964835paper-41964835→hypothesis-h-44195347hypothesis-h-44195347→paper-41965633paper-41965633→hypothesis-h-44195347paper-40864401→hypothesis-h-d0a564e8hypothesis-h-d0a564e8→wiki-convergence-synthesis-prohypothesis-h-d0a564e8→paper-21743477paper-21743477→hypothesis-h-d0a564e8hypothesis-h-d0a564e8→paper-29566794paper-29566794→hypothesis-h-d0a564e8hypothesis-h-d0a564e8→paper-24662763paper-24662763→hypothesis-h-d0a564e8hypothesis-h-d0a564e8→paper-16186106paper-16186106→hypothesis-h-d0a564e8hypothesis-h-d0a564e8→paper-27075902paper-27075902→hypothesis-h-d0a564e8hypothesis-h-d0a564e8→paper-31511691paper-31511691→hypothesis-h-d0a564e8hypothesis-h-d0a564e8→paper-12128082paper-12128082→hypothesis-h-d0a564e8hypothesis-h-d0a564e8→paper-23757761paper-23757761→hypothesis-h-d0a564e8hypothesis-h-d0a564e8→paper-35454088paper-35454088→hypothesis-h-d0a564e8hypothesis-h-d0a564e8→paper-31287614paper-31287614→hypothesis-h-d0a564e8hypothesis-h-d0a564e8→paper-41858499paper-41858499→hypothesis-h-d0a564e8hypothesis-h-d0a564e8→paper-28945989paper-28945989→hypothesis-h-d0a564e8hypothesis-h-d0a564e8→paper-40005250paper-40005250→hypothesis-h-d0a564e8hypothesis-h-d0a564e8→paper-30933499paper-30933499→hypothesis-h-d0a564e8hypothesis-h-d0a564e8→paper-41085188paper-41085188→h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[Integrative machine learning approach to risk prediction for dementia and Alzheimer's disease.](http://scidex.ai/artifact/paper-40864401)
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