Cardiovascular disease detection: A hybrid machine learning-AI framework for personalized diagnosis and risk assessment.
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| Title: | Cardiovascular disease detection: A hybrid machine learning-AI framework for personalized diagnosis and risk assessment. |
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| Authors: | Tawfeek MA; Department of Computer Science, College of Computer and Information Sciences, Jouf University, Sakaka Aljouf, 72388, Saudi Arabia., Alrashdi I; Department of Computer Science, College of Computer and Information Sciences, Jouf University, Sakaka Aljouf, 72388, Saudi Arabia., Alruwaili M; Department of Computer Engineering and Networks, College of Computer and Information Sciences, Jouf University, Sakaka Aljouf, 72388, Saudi Arabia., Allahem H; Department of Information Systems, College of Computer and Information Sciences, Jouf University, Sakaka Aljouf, 72388, Saudi Arabia. |
| Source: | PloS one [PLoS One] 2025 Oct 29; Vol. 20 (10), pp. e0335421. Date of Electronic Publication: 2025 Oct 29 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0335421 |
