Hybrid optimized temporal convolutional networks with long short-term memory for heart disease prediction with deep features.

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Bibliographic Details
Title: Hybrid optimized temporal convolutional networks with long short-term memory for heart disease prediction with deep features.
Authors: Balamurugan M; Research Scholar, Department of Computer Science and Engineering, Vels Institute of Science, Technology & Advanced Studies (VISTAS), Chennai, India., Meera DS; Associate Professor, Vels Institute of Science, Technology & Advanced Studies (VISTAS), Pallavaram, Chennai, Tamil Nadu, India.
Source: Computer methods in biomechanics and biomedical engineering [Comput Methods Biomech Biomed Engin] 2025 May; Vol. 28 (7), pp. 996-1020. Date of Electronic Publication: 2024 Apr 08.
Publication Type: Journal Article
Journal Info: Publisher: Informa Healthcare Country of Publication: England NLM ID: 9802899 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1476-8259 (Electronic) Linking ISSN: 10255842 NLM ISO Abbreviation: Comput Methods Biomech Biomed Engin Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1476-8259
DOI:10.1080/10255842.2024.2310075