Back to search

Article

Heart Failure Prediction & Risk Stratification using Machine Learning

2026-06-02

Abstract excerpt

<title>Abstract</title> <p> <bold>Background</bold> Heart failure (HF) is one of the most prevalent causes of morbidity, mortality, and healthcare expenditures, with approximately 6.7 million adults in the U.S. suffering from this condition and contributing to hundreds of thousands of deaths annually. Early diagnosis of high-risk individuals has been a challenge, as HF-specific symptoms are often ignored or mis...

Topics

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

Identifiers and source

Literature Corpus work
d12fb137-c273-5573-9cc7-94c0af350097
DOI
10.21203/rs.3.rs-9498049/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.
Heart Failure Prediction &amp; Risk Stratification using Machine LearningDOI 10.21203/rs.3.rs-9498049/v1
Select a neighboring publication to make it the new centre.