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 to improve the identification of patients with dementia due to ADRD using clinical notes from electronic health records (EHRs).

Methods

EHR data for patients aged ≥ 64 (N = 4000) from an academic medical center were used. The cohort included 1000 patients with ADRD per the Chronic Conditions Warehouse (CCW) algorithm for ADRD (i.e., at least one ADRD International Classification of Diseases, Tenth Revision codes [ICD-10 code]) and 3000 matched controls without ADRD (i.e., no CCW codes).

SUBMITTER: Knox S 

PROVIDER: S-EPMC12022419 | biostudies-literature | 2025 Apr-Jun

REPOSITORIES: biostudies-literature