AIMC Topic: Coronary Disease
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Bimodal fuzzy analytic hierarchy process (BFAHP) for coronary heart disease risk assessment.
Journal of biomedical informatics
Apr 4, 2018
Rooted deeply in medical multiple criteria decision-making (MCDM), risk assessment is very important especially when applied to the risk of being affected by deadly diseases such as coronary heart disease (CHD). CHD risk assessment is a stochastic, u...
Melatonin administration lowers biomarkers of oxidative stress and cardio-metabolic risk in type 2 diabetic patients with coronary heart disease: A randomized, double-blind, placebo-controlled trial.
Clinical nutrition (Edinburgh, Scotland)
Dec 12, 2017
BACKGROUND & AIMS: Melatonin may benefit diabetic people with coronary heart disease (CHD) through its beneficial effects on biomarkers of oxidative stress and cardio-metabolic risk. This investigation evaluated the effects of melatonin administratio...
Impact of renal impairment on platelet reactivity and clinical outcomes during chronic dual antiplatelet therapy following coronary stenting.
European heart journal. Cardiovascular pharmacotherapy
Dec 17, 2015
AIMS: Clinical utilization of dual antiplatelet therapy (DAPT) in patients with renal impairment (RI) following percutaneous coronary interventions (PCI) represents an urgent, unmet need choosing optimal agents, duration of treatment, and potential d...
A deep learning model could screen for coronary heart disease from a "pseudo-normal" electrocardiogram.
Medicine
Jun 13, 2025
BACKGROUND: This study aimed to develop a deep learning model (DLM) for rapid screening of coronary heart disease (CHD) using "pseudo-normal" electrocardiograms (ECGs), particularly focusing on patients who present with normal or near-normal ECGs at ...
Machine Learning for the Prediction of Acute Kidney Injury in Critically Ill Patients With Coronary Heart Disease: Algorithm Development and Validation.
JMIR medical informatics
May 28, 2025
BACKGROUND: Acute kidney injury (AKI) frequently occurs in critically ill patients with coronary heart disease (CHD), and its development markedly elevates mortality rates and prolongs hospitalization duration. Early AKI prediction is crucial for tim...
Prediction of coronary heart disease based on klotho levels using machine learning.
Scientific reports
May 27, 2025
The diagnostic accuracy for coronary heart disease (CHD) needs to be improved. Some studies have indicated that klotho protein levels upon admission comprise an independent risk factor for CHD and have clinical value for predicting CHD. This study ai...
[Artificial intelligence empowering precision interventional therapy: the rise of computational coronary physiology].
Zhonghua xin xue guan bing za zhi
May 24, 2025
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...
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