Heart Disease Prediction Using Novel Ensemble and Blending Based Cardiovascular Disease Detection Networks: EnsCVDD-Net and BlCVDD-Net

Khan, Hira; Javaid, Nadeem; Bashir, Tariq; Akbar, Mariam; Alrajeh, Nabil; Aslam, Sheraz

doi:10.1109/access.2024.3421241

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Book1

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

References 53 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

An innovative attention infused- BiRecurrenTwin network assisted hybrid segmentation technique for accurate heart disease prediction

Aswathi,

Kumar,

Ramakrishnan

2024

Engineering Applications of Artificial Intelligence

View full text Add to dashboard Cite

An innovative attention infused- BiRecurrenTwin network assisted hybrid segmentation technique for accurate heart disease prediction

Aswathi,

Kumar,

Ramakrishnan

2024

Engineering Applications of Artificial Intelligence

View full text Add to dashboard Cite

Revolutionizing Heart Disease Care With AI

Mulwani,

Bhende,

Sharma

2024

Advances in Healthcare Information Systems and Administration

View full text Add to dashboard Cite

The integration of Artificial Intelligence (AI) in heart disease care is transforming the landscape of precision medicine, enabling more accurate diagnosis, improved prediction of disease progression, and personalized treatment strategies. Utilising AI in cardiology improves patient outcomes and maximises healthcare systems' efficiency. By leveraging machine learning algorithms and data analytics, AI-powered tools can analyze vast amounts of medical data, including electrocardiograms, medical images, and patient records, to identify patterns and insights that may not be apparent to human experts. This chapter explores how AI can improve heart disease care, including early detection of abnormalities through image analysis, proactive risk prediction, working with wearable devices and personalized treatment plans tailored to individual patient needs. Explainable Artificial Intelligence (XAI) enhances the management of heart disease by providing transparent insights into AI decision-making processes

show abstract

Heart Disease Prediction Using Novel Ensemble and Blending Based Cardiovascular Disease Detection Networks: EnsCVDD-Net and BlCVDD-Net

Cited by 2 publications

References 53 publications

An innovative attention infused- BiRecurrenTwin network assisted hybrid segmentation technique for accurate heart disease prediction

An innovative attention infused- BiRecurrenTwin network assisted hybrid segmentation technique for accurate heart disease prediction

Revolutionizing Heart Disease Care With AI

Contact Info

Product

Resources

About