Optimizing Adaptive Neuro Fuzzy Inference System (Anfis) With Dragonfly Algorithm For Cardiovascular Disease
Cardiovascular disease (CVD) remains a great concern in the field of healthcare. It is responsible for the highest mortality rate leading cause of death worldwide. This research utilizes an Adaptive neuro-fuzzy inference system (ANFIS) and addresses the problem of topology and parametric configurati...
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| Format: | Thesis |
| Language: | English |
| Published: |
2023
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| Online Access: | http://eprints.usm.my/60543/ http://eprints.usm.my/60543/1/Pages%20from%20WADA%20MOHAMMED%20JINJIRI%20-%20TESIS.pdf |
| _version_ | 1848884476251209728 |
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| author | Jinjiri, Wada Mohammed |
| author_facet | Jinjiri, Wada Mohammed |
| author_sort | Jinjiri, Wada Mohammed |
| building | USM Institutional Repository |
| collection | Online Access |
| description | Cardiovascular disease (CVD) remains a great concern in the field of healthcare. It is responsible for the highest mortality rate leading cause of death worldwide. This research utilizes an Adaptive neuro-fuzzy inference system (ANFIS) and addresses the problem of topology and parametric configurations that lead to the prediction error for CVD. |
| first_indexed | 2025-11-15T19:07:18Z |
| format | Thesis |
| id | usm-60543 |
| institution | Universiti Sains Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T19:07:18Z |
| publishDate | 2023 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | usm-605432024-05-06T01:35:19Z http://eprints.usm.my/60543/ Optimizing Adaptive Neuro Fuzzy Inference System (Anfis) With Dragonfly Algorithm For Cardiovascular Disease Jinjiri, Wada Mohammed QA75.5-76.95 Electronic computers. Computer science Cardiovascular disease (CVD) remains a great concern in the field of healthcare. It is responsible for the highest mortality rate leading cause of death worldwide. This research utilizes an Adaptive neuro-fuzzy inference system (ANFIS) and addresses the problem of topology and parametric configurations that lead to the prediction error for CVD. 2023-06 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/60543/1/Pages%20from%20WADA%20MOHAMMED%20JINJIRI%20-%20TESIS.pdf Jinjiri, Wada Mohammed (2023) Optimizing Adaptive Neuro Fuzzy Inference System (Anfis) With Dragonfly Algorithm For Cardiovascular Disease. Masters thesis, Universiti Sains Malaysia. |
| spellingShingle | QA75.5-76.95 Electronic computers. Computer science Jinjiri, Wada Mohammed Optimizing Adaptive Neuro Fuzzy Inference System (Anfis) With Dragonfly Algorithm For Cardiovascular Disease |
| title | Optimizing Adaptive Neuro Fuzzy Inference System (Anfis) With Dragonfly Algorithm For Cardiovascular Disease |
| title_full | Optimizing Adaptive Neuro Fuzzy Inference System (Anfis) With Dragonfly Algorithm For Cardiovascular Disease |
| title_fullStr | Optimizing Adaptive Neuro Fuzzy Inference System (Anfis) With Dragonfly Algorithm For Cardiovascular Disease |
| title_full_unstemmed | Optimizing Adaptive Neuro Fuzzy Inference System (Anfis) With Dragonfly Algorithm For Cardiovascular Disease |
| title_short | Optimizing Adaptive Neuro Fuzzy Inference System (Anfis) With Dragonfly Algorithm For Cardiovascular Disease |
| title_sort | optimizing adaptive neuro fuzzy inference system (anfis) with dragonfly algorithm for cardiovascular disease |
| topic | QA75.5-76.95 Electronic computers. Computer science |
| url | http://eprints.usm.my/60543/ http://eprints.usm.my/60543/1/Pages%20from%20WADA%20MOHAMMED%20JINJIRI%20-%20TESIS.pdf |