Back to search

Article

Using Latent Class Analysis to Identify Subgroups of Post-Operative Older Adults

2025-01-05

Abstract excerpt

<h4>Objective</h4> Identify subgroups of postoperative older adults using electronic health record data. <h4>Summary of Background Data</h4> Postoperative older adults represent a vulnerable population who may benefit from tailored postoperative care pathways. Identifying clinical subgroups can inform the development of these pathways. <h4>Methods</h4> Retrospective cohort study of postoperative adults > 65 years...

Topics

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

Identifiers and source

Literature Corpus work
8aab0c10-3e39-54c3-a9e7-ff13630b48c2
DOI
10.1101/2025.01.03.25319954
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.
Using Latent Class Analysis to Identify Subgroups of Post-Operative Older AdultsDOI 10.1101/2025.01.03.25319954
Select a neighboring publication to make it the new centre.