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Integrative multi-modal feature extraction from ECG signals using FusionHeartNet for robust heart disease prediction.

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Title: Integrative multi-modal feature extraction from ECG signals using FusionHeartNet for robust heart disease prediction.
Authors: Gunjal AS; 1School of Computing, Sathyabama Institute of Science and Technology, Chennai, India.; Department of Computer Engineering & Technology-MITWPU, Pune, Maharashtra, India., Judgi T; 1School of Computing, Sathyabama Institute of Science and Technology, Chennai, India.
Source: The International journal of artificial organs [Int J Artif Organs] 2026 Jul; Vol. 49 (7), pp. 485-501. Date of Electronic Publication: 2026 Jun 18.
Publication Type: Journal Article
Journal Info: Publisher: SAGE Publishing Country of Publication: United States NLM ID: 7802649 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1724-6040 (Electronic) Linking ISSN: 03913988 NLM ISO Abbreviation: Int J Artif Organs Subsets: MEDLINE
Database: MEDLINE Ultimate
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        Value: 10.1177/03913988261448211
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      – Code: eng
        Text: English
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        StartPage: 485
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      – TitleFull: Integrative multi-modal feature extraction from ECG signals using FusionHeartNet for robust heart disease prediction.
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              Text: 2026 Jul
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              Value: 49
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