Back to search

Article

Synthetic Data for Accessible Learning in Healthcare: Improving Mortality Prediction with Longitudinal Data

2024-11-04

Abstract excerpt

<title>Abstract</title> <p>Accurate prediction of medium-term survival after admission is necessary for identifying end-of-life patients who may benefit from earlier goals of care (GOC) discussions. While previous studies have leveraged admission data from electronic health records (EHRs) to predict the hospital one-year mortality risk (HOMR) score, they focused on single admissions, without considering longitudi...

Topics

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

Identifiers and source

Literature Corpus work
1c62a9c8-e8a8-5224-a4a7-aa0057ba84e6
DOI
10.21203/rs.3.rs-5363467/v1
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.
Synthetic Data for Accessible Learning in Healthcare: Improving Mortality Prediction with Longitudinal DataDOI 10.21203/rs.3.rs-5363467/v1
Select a neighboring publication to make it the new centre.