Back to search

Article

Develop and Validate a Computable Phenotype for the Identification of Alzheimer’s Disease Patients Using Electronic Health Record Data

2024-02-06

Abstract excerpt

<h4>ABSTRACT</h4> <h4>INTRODUCTION</h4> Alzheimer’s Disease (AD) are often misclassified in electronic health records (EHRs) when relying solely on diagnostic codes. This study aims to develop a more accurate, computable phenotype (CP) for identifying AD patients by using both structured and unstructured EHR data. <h4>METHODS</h4> We used EHRs from the University of Florida Health (UF Health) system and created ru...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
38c5b7b3-a18a-50a1-b8e9-5797c8ea0d0f
DOI
10.1101/2024.02.06.24302389
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Develop and Validate a Computable Phenotype for the Identification of Alzheimer’s Disease Patients Using Electronic Health Record DataDOI 10.1101/2024.02.06.24302389
Select a neighboring publication to make it the new centre.