Back to search

Article

Prognostic Assessment of Sepsis-Induced Acute Respiratory Distress Syndrome Using an Early Warning Model

2026-02-27

Abstract excerpt

<title>Abstract</title> <p> <bold>Background & Objective:</bold> Sepsis-induced acute respiratory distress syndrome (ARDS) is a critical condition with high mortality, yet effective tools for its early prediction are still lacking. This study aimed to identify early risk factors, develop a machine learning-based early warning model for sepsis-induced ARDS, and evaluate the prognostic value of the model-derived...

Topics

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

Identifiers and source

Literature Corpus work
02aa0f73-3bc7-5fbb-a78c-70ebb9431d8e
DOI
10.21203/rs.3.rs-8699941/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.
Prognostic Assessment of Sepsis-Induced Acute Respiratory Distress Syndrome Using an Early Warning ModelDOI 10.21203/rs.3.rs-8699941/v1
Select a neighboring publication to make it the new centre.