Artificial intelligence in the risk prediction models of cardiovascular disease and development of an independent validation screening tool: a systematic review
Y Cai, YQ Cai, LY Tang, YH Wang, M Gong, TC Jing… - BMC medicine, 2024 - Springer
Background A comprehensive overview of artificial intelligence (AI) for cardiovascular
disease (CVD) prediction and a screening tool of AI models (AI-Ms) for independent external …
disease (CVD) prediction and a screening tool of AI models (AI-Ms) for independent external …
A novel study on machine learning algorithm‐based cardiovascular disease prediction
Cardiovascular disease (CVD) is a life‐threatening disease rising considerably in the world.
Early detection and prediction of CVD as well as other heart diseases might protect many …
Early detection and prediction of CVD as well as other heart diseases might protect many …
Advanced machine learning techniques for cardiovascular disease early detection and diagnosis
NA Baghdadi, SM Farghaly Abdelaliem, A Malki… - Journal of Big Data, 2023 - Springer
The identification and prognosis of the potential for developing Cardiovascular Diseases
(CVD) in healthy individuals is a vital aspect of disease management. Accessing the …
(CVD) in healthy individuals is a vital aspect of disease management. Accessing the …
Artificial intelligence-based approaches for the detection and prioritization of genomic mutations in congenital surgical diseases
Genetic mutations are critical factors leading to congenital surgical diseases and can be
identified through genomic analysis. Early and accurate identification of genetic mutations …
identified through genomic analysis. Early and accurate identification of genetic mutations …
Advantages of modeling the urban heat island intensity: A tool for implementing nature-based solutions
Climate change affects the lives of billions of urban residents worldwide. Amidst this
scenario, the urban heat island (UHI) exacerbates heat stress and worsens thermal …
scenario, the urban heat island (UHI) exacerbates heat stress and worsens thermal …
Computational detection and interpretation of heart disease based on conditional variational auto-encoder and stacked ensemble-learning framework
Worldwide, cardiovascular disease is the leading cause of death. Based on clinical data, a
Machine Learning (ML) system can detect cardiac disease in its early stages, which enables …
Machine Learning (ML) system can detect cardiac disease in its early stages, which enables …
Cardiovascular diseases diagnosis using an ECG multi-band non-linear machine learning framework analysis
P Ribeiro, J Sá, D Paiva, PM Rodrigues - Bioengineering, 2024 - mdpi.com
Background: cardiovascular diseases (CVDs), which encompass heart and blood vessel
issues, stand as the leading cause of global mortality for many people. Methods: the present …
issues, stand as the leading cause of global mortality for many people. Methods: the present …
[HTML][HTML] Performance discrepancy mitigation in heart disease prediction for multisensory inter-datasets
Heart disease is one of the primary causes of morbidity and death worldwide. Millions of
people have had heart attacks every year, and only early-stage predictions can help to …
people have had heart attacks every year, and only early-stage predictions can help to …
Blockchain and Machine Learning in EHR Security: A Systematic Review
Background: The rapid development of modern technologies renders a convenient and
efficient solution to implement Electronic Health Records (EHRs) systems. The rapid growth …
efficient solution to implement Electronic Health Records (EHRs) systems. The rapid growth …
DCNeT: A disease comorbidity network-based temporal deep learning framework to predict cardiovascular risk in patients with mental disorders
H Qiu, P Yang, L Wang - Expert Systems with Applications, 2024 - Elsevier
Patients with mental disorders (MDs) are at higher subsequent risk of developing
cardiovascular diseases (CVDs) than the general population. Early identification of …
cardiovascular diseases (CVDs) than the general population. Early identification of …