Heart Disease Prediction with 100% Accuracy, Using Machine Learning: Performance Improvement with Features Selection and Sampling-Reference-Cited by-同舟云学术

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Heart Disease Prediction with 100% Accuracy, Using Machine Learning: Performance Improvement with Features Selection and Sampling

Published:2023-11-03 Issue: Volume: Page:41-45
ISSN:
Container-title:2023 8th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC)
language:
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Author:

Sabah Fahad¹,Chen Yuwen¹,Yang Zhen¹,Raheem Abdul¹,Azam Muhammad²,Sarwar Raheem³

Affiliation:

1. Beijing University of Technology,Faculty of Information Technology,Beijing,China,100124

2. Superior University,Faculty of Computer Science & Information Technology,Lahore,Pakistan

3. Manchester Metropolitan University,OTEHM,Manchester,United Kingdom

Funder

National Key R&D Program of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10389812/10388494/10390693.pdf?arnumber=10390693

Reference22 articles.

1. How machine learning is impacting research in atrial fibrillation: implications for risk prediction and future management

2. Current trends in the use of machine learning for diagnostics and/or risk stratification in cardiovascular disease

3. At the heart of artificial intelligence: the future might well be based on synthetic cells

4. Incident cardiovascular disease risk prediction using extensive oximetry patterns

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1. Crossing Linguistic Barriers: Authorship Attribution in Sinhala Texts;ACM Transactions on Asian and Low-Resource Language Information Processing;2024-05-10

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