Optimizing Adaptive Neuro Fuzzy Inference System (Anfis) With Dragonfly Algorithm For Cardiovascular Disease

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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Main Author: Jinjiri, Wada Mohammed
Format: Thesis
Language:English
Published: 2023
Subjects:
QA75.5-76.95 Electronic computers
Computer science
Online Access:http://eprints.usm.my/60543/1/Pages%20from%20WADA%20MOHAMMED%20JINJIRI%20-%20TESIS.pdf
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id my-usm-ep.60543
record_format uketd_dc
spelling my-usm-ep.605432024-05-06T01:35:19Z Optimizing Adaptive Neuro Fuzzy Inference System (Anfis) With Dragonfly Algorithm For Cardiovascular Disease 2023-06 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 http://eprints.usm.my/60543/ http://eprints.usm.my/60543/1/Pages%20from%20WADA%20MOHAMMED%20JINJIRI%20-%20TESIS.pdf application/pdf en public masters Universiti Sains Malaysia Pusat Pengajian Sains Komputer ( School of Computer Sciences)
institution Universiti Sains Malaysia
collection USM Institutional Repository
language English
topic QA75.5-76.95 Electronic computers
Computer science
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
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.
format Thesis
qualification_level Master's degree
author Jinjiri, Wada Mohammed
author_facet Jinjiri, Wada Mohammed
author_sort Jinjiri, Wada Mohammed
title 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_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_sort optimizing adaptive neuro fuzzy inference system (anfis) with dragonfly algorithm for cardiovascular disease
granting_institution Universiti Sains Malaysia
granting_department Pusat Pengajian Sains Komputer ( School of Computer Sciences)
publishDate 2023
url http://eprints.usm.my/60543/1/Pages%20from%20WADA%20MOHAMMED%20JINJIRI%20-%20TESIS.pdf
_version_ 1804888960340590592

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