AIMC Topic: Coronary Disease
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Machine Learning Model for Predicting Coronary Heart Disease Risk: Development and Validation Using Insights From a Japanese Population-Based Study.
JMIR cardio
May 12, 2025
BACKGROUND: Coronary heart disease (CHD) is a major cause of morbidity and mortality worldwide. Identifying key risk factors is essential for effective risk assessment and prevention. A data-driven approach using machine learning (ML) offers advanced...
Machine learning-based coronary heart disease diagnosis model for type 2 diabetes patients.
Frontiers in endocrinology
Jan 1, 2025
BACKGROUND: To establish a classification model for assisting the diagnosis of type 2 diabetes mellitus (T2DM) complicated with coronary heart disease (CHD).
Machine learning-driven risk assessment of coronary heart disease: Analysis of NHANES data from 1999 to 2018.
Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences
Aug 28, 2024
OBJECTIVES: The high incidence of coronary artery heart disease (CHD) poses a significant burden and challenge to public health systems globally. Effective prevention and early diagnosis of CHD have become key strategies to alleviate this burden. Thi...
Deep Learning-Based Assessment of Built Environment From Satellite Images and Cardiometabolic Disease Prevalence.
JAMA cardiology
Jun 1, 2024
IMPORTANCE: Built environment plays an important role in development of cardiovascular disease. Large scale, pragmatic evaluation of built environment has been limited owing to scarce data and inconsistent data quality.
Coronary heart disease classification using deep learning approach with feature selection for improved accuracy.
Technology and health care : official journal of the European Society for Engineering and Medicine
Jan 1, 2024
BACKGROUND: Coronary heart disease (CHD) is one of the deadliest diseases and a risk prediction model for cardiovascular conditions is needed. Due to the huge number of features that lead to heart problems, it is often difficult for an expert to eval...
Coronary heart disease prediction based on hybrid deep learning.
The Review of scientific instruments
Jan 1, 2024
Machine learning provides increasingly reliable assistance for medical experts in diagnosing coronary heart disease. This study proposes a deep learning hybrid model based coronary heart disease (CAD) prediction method, which can significantly improv...
[A deep-learning model for the assessment of coronary heart disease and related risk factors via the evaluation of retinal fundus photographs].
Zhonghua xin xue guan bing za zhi
Dec 24, 2022
To develop and validate a deep learning model based on fundus photos for the identification of coronary heart disease (CHD) and associated risk factors. Subjects aged>18 years with complete clinical examination data from 149 hospitals and medical e...
On-chip photonic diffractive optical neural network based on a spatial domain electromagnetic propagation model.
Optics express
Sep 27, 2021
An integrated physical diffractive optical neural network (DONN) is proposed based on a standard silicon-on-insulator (SOI) substrate. This DONN has compact structure and can realize the function of machine learning with whole-passive fully-optical m...
Web-Based Decision Support System for Coronary Heart Disease Diagnosis.
Advances in experimental medicine and biology
Jan 1, 2021
Coronary heart disease is a serious and common disease that affects a large part of the population. There is a tendency to use machine learning techniques for the punctual and valid diagnosis, which can determine the effectiveness of treatment and th...
Supporting Real World Decision Making in Coronary Diseases Using Machine Learning.
Inquiry : a journal of medical care organization, provision and financing
Jan 1, 2021
Cardiovascular diseases are one of the leading global causes of death. Following the positive experiences with machine learning in medicine we performed a study in which we assessed how machine learning can support decision making regarding coronary ...
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