AI approaches for phenotyping Alzheimer's disease and related dementias using electronic health records
Abstract INTRODUCTION The current standard electronic (e‐)phenotype for identifying patients with Alzheimer's disease and related dementias (ADRD) from medical claims data yields suboptimal diagnostic accuracy. This study leveraged artificial intelligence (AI)–based text‐classification methods...
Saved in:
Main Authors: | Sara Knox, Stephanie Aghamoosa, Paul M. Heider, Maxwell Cutty, Andrew Wright, Dmitry Scherbakov, Gabriel Hood, Sara A. Nolin, Jihad S. Obeid |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2025-04-01
|
Series: | Alzheimer’s & Dementia: Translational Research & Clinical Interventions |
Subjects: | |
Online Access: | https://doi.org/10.1002/trc2.70089 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Trends and forecasts of the prevalence and mortality of Alzheimer’s disease and other dementias in China
by: Mingxuan Hou, et al.
Published: (2025-07-01) -
The Efficacy of Anti-amyloid Monoclonal Antibodies in Early Alzheimer’s Dementia: A Systematic Review
by: Alyaa Mostafa, et al.
Published: (2025-05-01) -
Potential Role of Lymphovenous Bypass in Mitigating Alzheimer's Disease Dementia
by: Qingping Xie, et al.
Published: (2025-07-01) -
Liver enzyme and risk of vascular dementia: A univariable and multivariable Mendelian randomization of European descent
by: Jieyu Chen, et al.
Published: (2024-12-01) -
Association of allostatic load with all‐cause and cause‐specific dementia: A prospective cohort study
by: Yifan Gou, et al.
Published: (2025-04-01)