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Retrieved on: 2024-08-06 12:51:14
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Summary
The article examines the integration of machine learning methods, specifically ensemble learning and boosting algorithms like AdaBoost, to effectively predict mortality outcomes in patients with coronary artery disease (CHD) and hypertension. This approach aims to improve public health by guiding treatment strategies and allocating health resources, aligning with the key concept 'Public Health.' Tags such as 'Medical diagnosis,' 'Epidemiology,' and 'Machine learning' encapsulate the study's focus on advanced prediction techniques and their practical applications in public health.
Article found on: www.dovepress.com
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