Back to search

Article

A Community-Based Machine Learning Model for Predicting Major Adverse Cardiovascular Events in Kazakh Hypertensive Patients

2026-07-01

Abstract excerpt

<title>Abstract</title> <p>Aims The current situation in China is that the number of people suffering from hypertension has reached 240 million, with cardiovascular diseases being the leading cause of death among both urban and rural residents, presenting a severe public health challenge. Methods A baseline survey was conducted using data from hypertensive patients registered at the "Hypertension Control Center...

Topics

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

Identifiers and source

Literature Corpus work
f77e885e-37db-5137-a436-597d9733f049
DOI
10.21203/rs.3.rs-9308614/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.
A Community-Based Machine Learning Model for Predicting Major Adverse Cardiovascular Events in Kazakh Hypertensive PatientsDOI 10.21203/rs.3.rs-9308614/v1
Select a neighboring publication to make it the new centre.