Novel Feature Reduction (NFR) Model With Machine Learning and Data Mining Algorithms for Effective Disease Risk Prediction-Reference-Cited by-同舟云学术

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Novel Feature Reduction (NFR) Model With Machine Learning and Data Mining Algorithms for Effective Disease Risk Prediction

Published:2020 Issue: Volume:8 Page:184087-184108
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Pasha Syed Javeed^ORCID,Mohamed E. Syed

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09212426.pdf?arnumber=9212426

Cited by 40 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Novel Approach to Heart Disease Prediction Using Artificial Intelligence Techniques;EAI Endorsed Transactions on Pervasive Health and Technology;2024-07-30

2. Disease Diagnosis Using Machine Learning on Electronic Health Records;2024 International Conference on Communication, Computing and Internet of Things (IC3IoT);2024-04-17

3. Fused Feature Reduction and Selection System for Early Lung Cancer Detection;2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM);2024-04-04

4. Unlocking stroke prediction: Harnessing projection-based statistical feature extraction with ML algorithms;Heliyon;2024-03

5. Disease Prognosis Using Artificial Intelligence Neural Networks;Journal of Artificial Intelligence and Capsule Networks;2024-03

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