Back to search

Article

Application Of Multi-Inflammatory Index To Predict 28-Day Mortality In ICU Patients With Heart Failure: A Retrospective Machine Learning Study Based On The MIMIC-IV Database

2026-03-28

Abstract excerpt

<title>Abstract</title> <p>Background Heart Failure(HF) is one of the leading cardiovascular diseases, and its high mortality rate in the Intensive Care Unit (ICU) has drawn increasing attention.HF mortality prediction is critical for developing individualized prevention and treatment plans.The objective of this study is to evaluate how effectively the Multi-Inflammatory Index—I, II, and III (MII-1, MII-2, MII-3...

Topics

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

Identifiers and source

Literature Corpus work
5831c2d4-67e9-5fe2-a50a-46b5bd95849d
DOI
10.21203/rs.3.rs-8969119/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.
Application Of Multi-Inflammatory Index To Predict 28-Day Mortality In ICU Patients With Heart Failure: A Retrospective Machine Learning Study Based On The MIMIC-IV DatabaseDOI 10.21203/rs.3.rs-8969119/v1
Select a neighboring publication to make it the new centre.