Semi-supervised learning: Assisted cardiovascular disease forecasting using self-learning approaches

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Semi-supervised learning: Assisted cardiovascular disease forecasting using self-learning approaches

Cardiovascular diseases (CVDs) are characteristics that affect both the heart and the blood vessels. This disease is the main factor contributing to the greatest number of deaths globally. In the present global context, it is very difficult to detect cardiovascular diseases by early-stage symptoms....

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Bibliographic Details
Main Authors:	Tusher, Ekramul Haque, Mohd Arfian, Ismail, Khan, Ferose, Anis Farihan, Mat Raffei, Md Akbar, Jalal Uddin
Format:	Article
Language:	English English
Published:	Penerbit Akademia Baru 2024
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/39151/ http://umpir.ump.edu.my/id/eprint/39151/1/Semi-supervised%20learning_%20Assisted%20cardiovascular%20disease%20forecasting.pdf http://umpir.ump.edu.my/id/eprint/39151/7/Semi-Supervised%20Learning-%20Assisted%20Cardiovascular%20Disease.pdf

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