Back to search

Article

Development, validation, and evaluation of prediction models to identify individuals at high risk of lung cancer for screening in the English primary care population using the QResearch<sup>®</sup> database: research protocol and statistical analysis plan

2022-01-07

Abstract excerpt

<h4>Background and research aim</h4> Lung cancer is a research priority in the UK. Early diagnosis of lung cancer can improve patients’ survival outcomes. The DART-QResearch project is part of a larger academic-industrial collaborative initiative, using big data and artificial intelligence to improve patient outcomes with thoracic diseases. There are two general research aims in the DART-QResearch project: (1) to...

Topics

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

Identifiers and source

Literature Corpus work
ba91a07c-c8fe-5eb3-932d-06d44a07999c
DOI
10.1101/2022.01.07.22268789
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.
Development, validation, and evaluation of prediction models to identify individuals at high risk of lung cancer for screening in the English primary care population using the QResearch<sup>®</sup> database: research protocol and statistical analysis planDOI 10.1101/2022.01.07.22268789
Select a neighboring publication to make it the new centre.