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 …
[HTML][HTML] 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 …
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 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 …
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 …
[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 …
Identification of high-risk patients for referral through machine learning assisting the decision making to manage minor ailments in community pharmacies
N Amador-Fernández, SI Benrimoj… - Frontiers in …, 2023 - frontiersin.org
Background: Data analysis techniques such as machine learning have been used for
assisting in triage and the diagnosis of health problems. Nevertheless, it has not been used …
assisting in triage and the diagnosis of health problems. Nevertheless, it has not been used …
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 …
[HTML][HTML] Developing a machine-learning model for real-time prediction of successful extubation in mechanically ventilated patients using time-series ventilator-derived …
KY Huang, YL Hsu, HC Chen, MH Horng… - Frontiers in …, 2023 - frontiersin.org
Background: Successful weaning from mechanical ventilation is important for patients
admitted to intensive care units. However, models for predicting real-time weaning outcomes …
admitted to intensive care units. However, models for predicting real-time weaning outcomes …
Artificial Intelligence for Risk Assessment on Primary Prevention of Coronary Artery Disease
Abstract Purpose of Review Coronary artery disease (CAD) is a common and etiologically
complex disease worldwide. Current guidelines for primary prevention, or the prevention of …
complex disease worldwide. Current guidelines for primary prevention, or the prevention of …