Cardiovascular

Metabolic Syndrome

Latest AI and machine learning research in metabolic syndrome for healthcare professionals.

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Showing 547-567 of 7,973 articles
Prevalence and Risk Factors of Chronic Kidney Disease in the General Population in Abidjan, Côte d'Ivoire: A Cross-sectional Study.

Chronic kidney disease (CKD) is a major cause of morbidity and mortality worldwide, but few studies ...

Mar 2024 38995301
Development of Machine Learning Models for the Identification of Elevated Ketone Bodies During Hyperglycemia in Patients with Type 1 Diabetes.

Diabetic ketoacidosis (DKA) is a serious life-threatening condition caused by a lack of insulin, wh...

Mar 2024 38456910
A Survey on Blood Pressure Measurement Technologies: Addressing Potential Sources of Bias.

Regular blood pressure (BP) monitoring in clinical and ambulatory settings plays a crucial role in t...

Mar 2024 38543993
Artificial intelligence in preventive cardiology.

Artificial intelligence (AI) is a field of study that strives to replicate aspects of human intellig...

Mar 2024 38460897
A comprehensive review on heart disease prognostication using different artificial intelligence algorithms.

Prediction of heart diseases on time is significant in order to preserve life. Many conventional met...

Feb 2024 38424704
Artificial intelligence-based model for predicting pulmonary arterial hypertension on chest x-ray images.

BACKGROUND: Pulmonary arterial hypertension is a serious medical condition. However, the condition i...

Feb 2024 38413932
Deep Learning based Retinal Vessel Caliber Measurement and the Association with Hypertension.

PURPOSE: To develop a highly efficient and fully automated method that measures retinal vessel calib...

Feb 2024 38407139
Dietary patterns associated with the incidence of hypertension among adult Japanese males: application of machine learning to a cohort study.

PURPOSE: The previous studies that examined the effectiveness of unsupervised machine learning metho...

Feb 2024 38403812
The importance of data in Pulmonary Arterial Hypertension: from international registries to Machine Learning.

Real-world registries have been critical to building the scientific knowledge of rare diseases, incl...

Feb 2024 38383269
Study of Serum Fibroblast Growth Factor 23 as a Predictor of Endothelial Dysfunction among Egyptian Patients with Diabetic Kidney Disease.

Endothelial dysfunction in patients with diabetic nephropathy is caused by nontraditional factors in...

Feb 2024 38345585
Incorporating longitudinal history of risk factors into atherosclerotic cardiovascular disease risk prediction using deep learning.

It is increasingly clear that longitudinal risk factor levels and trajectories are related to risk f...

Jan 2024 38296982
Protocol for metadata and image collection at diabetic foot ulcer clinics: enabling research in wound analytics and deep learning.

BACKGROUND: The escalating impact of diabetes and its complications, including diabetic foot ulcers ...

Jan 2024 38287324
Recent developments in machine learning modeling methods for hypertension treatment.

Hypertension is the leading cause of cardiovascular complications. This review focuses on the advanc...

Jan 2024 38216731
Using Artificial Intelligence to Predict Intracranial Hypertension in Patients After Traumatic Brain Injury: A Systematic Review.

Intracranial hypertension (IH) is a key driver of secondary brain injury in patients with traumatic ...

Jan 2024 38212559
Association between plain water intake and risk of hypertension: longitudinal analyses from the China Health and Nutrition Survey.

OBJECTIVE: This study aimed to investigate the prospective association between plain water intake an...

Jan 2024 38269373
Cuban policosanol improves high-density lipoprotein cholesterol efflux capacity in healthy Japanese subjects.

Policosanol supplementation has been reported to increase high-density lipoprotein (HDL)-cholesterol...

Jan 2024 38260075
[Artificial intelligence and secure use of health data in the KI-FDZ project: anonymization, synthetization, and secure processing of real-world data].

The increasing digitization of the healthcare system is leading to a growing volume of health data. ...

Jan 2024 38175194
Developing the novel diagnostic model and potential drugs by integrating bioinformatics and machine learning for aldosterone-producing adenomas.

Aldosterone-producing adenomas (APA) are a common cause of primary aldosteronism (PA), a clinical s...

Jan 2024 38239411
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