A5089862143- Artificial Intelligence in Healthcare
- Infrastructure Maintenance and Monitoring
- Blood Pressure and Hypertension Studies
- Speech and dialogue systems
- Health Promotion and Cardiovascular Prevention
- Cardiovascular Health and Risk Factors
- Safety Warnings and Signage
- Machine Learning in Healthcare
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Nutritional Studies and Diet
Kyung Hee University Medical Center
2024-2025
Kyung Hee University
2024-2025
Background Worldwide, cardiovascular diseases are the primary cause of death, with hypertension as a key contributor. In 2019, led to 17.9 million deaths, predicted reach 23 by 2030. Objective This study presents new method predict using demographic data, 6 machine learning models for enhanced reliability and applicability. The goal is harness artificial intelligence early accurate diagnosis across diverse populations. Methods Data from 2 national cohort studies, National Health Insurance...
<sec> <title>BACKGROUND</title> Worldwide, cardiovascular diseases are the primary cause of death, with hypertension as a key contributor. In 2019, led to 17.9 million deaths, predicted reach 23 by 2030. </sec> <title>OBJECTIVE</title> This study presents new method predict using demographic data, 6 machine learning models for enhanced reliability and applicability. The goal is harness artificial intelligence early accurate diagnosis across diverse populations. <title>METHODS</title> Data...