Back to search

Article

Predicting Chronic Obstructive Pulmonary Disease (COPD) Diagnosis Using Primary Care Variables and Machine Learning Algorithms

2024-11-10

Abstract excerpt

Chronic Obstructive Pulmonary Disease (COPD) affects many adults over the age of 50. Part of its incidence in the population is attributed to work and exposure to risk factors such as silica dust, and anticipating the diagnosis can prevent its worsening. This study aims to identify patients at higher risk of having a positive COPD diagnosis using variables routinely collected in primary care. A total of 120,294 pa...

Topics

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

Identifiers and source

Literature Corpus work
3fdb274d-9daf-5533-907c-7b4fc3c8bbf4
DOI
10.1101/2024.11.10.24317053
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.
Predicting Chronic Obstructive Pulmonary Disease (COPD) Diagnosis Using Primary Care Variables and Machine Learning AlgorithmsDOI 10.1101/2024.11.10.24317053
Select a neighboring publication to make it the new centre.