Enhanced heart sound classification using Mel frequency cepstral coefficients and comparative analysis of single vs. ensemble classifier strategies.
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| Title: | Enhanced heart sound classification using Mel frequency cepstral coefficients and comparative analysis of single vs. ensemble classifier strategies. |
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| Authors: | Hosseinzadeh M; School of Computer Science, Duy Tan University, Da Nang, Vietnam.; Jadara University Research Center, Jadara University, Irbid, Jordan., Haider A; Department of AI and Robotics, Sejong University, Seoul, Republic of Korea., Malik MH; School of Computing and Creative Technologies College of Arts, Technology and Environment (CATE) University of the West of England Frenchay Campus, Bristol, United Kingdom., Adeli M; Department of Biomedical Engineering, Dezful Branch, Islamic Azad University, Dezful, Iran., Mzoughi O; Department of Computer Sciences, College of Computer Engineering & Sciences, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia., Gemeay E; Department of Computer Engineering, Computer and Information Technology College, Taif University, Taif, Saudi Arabia., Mohammadi M; Department of Information Technology, College of Engineering and Computer Science, Lebanese French University, Kurdistan Region, Iraq., Alinejad-Rokny H; UNSW BioMedical Machine Learning Lab (BML), The Graduate School of Biomedical Engineering, UNSW Sydney, NSW, Australia.; Tyree Institute of Health Engineering (IHealthE), UNSW Sydney, Kensington, NSW, Australia., Khoshvaght P; DTU AI and Data Science Hub (DAIDASH), Duy Tan University, Da Nang, Vietnam., Porntaveetus T; Faculty of Dentistry, Department of Physiology, Center of Excellence in Genomics and Precision Dentistry, Clinical Research Center, Geriatric Dentistry and Special Patients Care International Program, Chulalongkorn University, Bangkok, Thailand., Rahmani AM; Future Technology Research Center, National Yunlin University of Science and Technology, Yunlin, Taiwan. |
| Source: | PloS one [PLoS One] 2024 Dec 31; Vol. 19 (12), pp. e0316645. Date of Electronic Publication: 2024 Dec 31 (Print Publication: 2024). |
| Publication Type: | Journal Article; Comparative Study |
| 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.0316645 |
