Back to search

Article

Deep Learning Identifies Novel Subphenotypes of Multiple Organ Dysfunction Syndrome in Critical Care

2026-03-17

Abstract excerpt

<title>Abstract</title> <p> <bold>Background</bold> : Multiple organ dysfunction syndrome (MODS) is associated with high mortality in critically ill patients, but traditional severity scores do not capture dynamic patterns of organ failure over time. <bold>Objectives</bold> : To identify novel MODS subphenotypes using unsupervised deep learning on high-resolution time-series data. <bold>Methods</bold> : Ret...

Topics

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

Identifiers and source

Literature Corpus work
c699c01f-4af1-58da-a30c-b4dd356d472c
DOI
10.21203/rs.3.rs-8901759/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.
Deep Learning Identifies Novel Subphenotypes of Multiple Organ Dysfunction Syndrome in Critical CareDOI 10.21203/rs.3.rs-8901759/v1
Select a neighboring publication to make it the new centre.