Web application using machine learning to predict cardiovascular disease and hypertension in mine workers

Web application using machine learning to predict cardiovascular disease and hypertension in mine workers

Abstract This study presents a web application for predicting cardiovascular disease (CVD) and hypertension (HTN) among mine workers using machine learning (ML) techniques. The dataset, collected from 699 participants at the Gol-Gohar mine in Iran between 2016 and 2020, includes demographic, occupat...

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Bibliographic Details
Main Authors: Sohrab Effati, Alireza Kamarzardi-Torghabe, Fatemeh Azizi-Froutaghe, Iman Atighi, Somayeh Ghiasi-Hafez
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
Subjects:
Care application
Cardiovascular disease
Hypertension
Mine Workers
Web application
Online Access:https://doi.org/10.1038/s41598-024-80919-9
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