Back to search

Article

SurvivEHR: a competing risks, time-to-event foundation model for multiple long-term conditions from primary care electronic health records

2025-08-06

Abstract excerpt

Multiple long-term conditions (MLTCs) or multimorbidity – the co-occurrence of multiple chronic conditions –presents a growing challenge for primary care. Current predictive models often target single outcomes and overlook the complexities of time-to-event risk in real-world, longitudinal health data. Here, we present SurvivEHR, a generative transformer-based foundation model trained on over 7.6 billion coded even...

Topics

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

Identifiers and source

Literature Corpus work
b88e5be8-a89c-528c-9116-f818e9a968c8
DOI
10.1101/2025.08.04.25332916
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.
SurvivEHR: a competing risks, time-to-event foundation model for multiple long-term conditions from primary care electronic health recordsDOI 10.1101/2025.08.04.25332916
Select a neighboring publication to make it the new centre.