Hybrid optimized temporal convolutional networks with long short-term memory for heart disease prediction with deep features.
Saved in:
| 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 |
|
Full text is not displayed to guests.
Login for full access.
|
|
Be the first to leave a comment!