Advancing machine learning for identifying cardiovascular disease via granular computing
Machine learning in cardiovascular disease (CVD) has broad applications in healthcare, automatically identifying hidden patterns in vast data without human intervention. Early-stage cardiovascular illness can benefit from machine learning models in drug selection. The integration of granular computi...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Institute of Advanced Engineering and Science (IAES)
2024
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/41102/1/23977-50936-1-PB.pdf http://umpir.ump.edu.my/id/eprint/41102/ http://doi.org/10.11591/ijai.v13.i2.pp2433-2440 http://doi.org/10.11591/ijai.v13.i2.pp2433-2440 |
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