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Article

Machine Learning Predicts Conversion from Normal Aging to Mild Cognitive Impairment Using Medical History, APOE Genotype, and Neuropsychological Assessment.

Journal of Alzheimer's disease : JAD - 1 Jan 2024

Prabhakaran Divya, Grant Caroline, Pedraza Otto, Caselli Richard, Athreya Arjun P, Chandler Melanie

Abstract excerpt

Background: Identifying individuals at risk for mild cognitive impairment (MCI) is of urgent clinical need. Objective: This study aimed to determine whether machine learning approaches could harness longitudinal neuropsychology measures, medical data, and APOEɛ4 genotype to identify individuals at risk of MCI 1 to 2 years prior to diagnosis. Methods: Data from 676 individuals who participated in the 'APOE in the...

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Identifiers

PMID: 38393898
DOI: 10.3233/JAD-230556
PMCID: PMC11174347

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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