A CNN-GRU framework for stroke-heart attack prediction using IMOWPA-tuned SMOTE and LZMA compression.
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| Title: | A CNN-GRU framework for stroke-heart attack prediction using IMOWPA-tuned SMOTE and LZMA compression. |
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| Authors: | Maheswari V U; Department of CSE, Chaitanya Bharathi Institute of Technology, Hyderabad, Telangana, India., Kumar B S; Department of ECE, New Horizon College of Engineering, Bengaluru, Karnataka, India., Aluvalu R; Symbiosis Institute of Technology, Hyderabad Campus, Symbiosis International (Deemed University), Hyderabad, Telangana, India., Kumar Ka J; Department of Mechanical Engineering, New Horizon College of Engineering, Bengaluru, Karnataka, India., Sekaran K; Department of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University, Hyderabad, India., Mousavirad SJ; Department of Computer and Electrical Engineering, Mid Sweden University, Sundsvall, Sweden., Tejani GG; Applied Science Research Center, Applied Science Private University, Amman, Jordan.; Department of Industrial Engineering and Management, Yuan Ze University, Taoyuan, Taiwan. |
| Source: | Digital health [Digit Health] 2026 Feb 04; Vol. 12, pp. 20552076251412690. Date of Electronic Publication: 2026 Feb 04 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: SAGE Publications Ltd Country of Publication: United States NLM ID: 101690863 Publication Model: eCollection Cited Medium: Print ISSN: 2055-2076 (Print) Linking ISSN: 20552076 NLM ISO Abbreviation: Digit Health Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2055-2076 |
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| DOI: | 10.1177/20552076251412690 |
