Cardiac disease detection using cuckoo search enabled deep belief network
Cardiac disease is the most infected disease in the world nowadays for all ages of people. An emergency need arises to predict cardiac disease accurately in a short time. In this article, hamming distance feature selection method is proposed for the data preprocessing and data cleaning process in di...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-11-01
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| Series: | Intelligent Systems with Applications |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667305322000680 |
| _version_ | 1828724132009738240 |
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| author | Nandakumar P Subhashini Narayan |
| author_facet | Nandakumar P Subhashini Narayan |
| author_sort | Nandakumar P |
| collection | DOAJ |
| description | Cardiac disease is the most infected disease in the world nowadays for all ages of people. An emergency need arises to predict cardiac disease accurately in a short time. In this article, hamming distance feature selection method is proposed for the data preprocessing and data cleaning process in different cardiac disease datasets. Deep learning model such as deep belief networks is used with cuckoo search bio-inspired algorithm for finding the accurate prediction of cardiac disease. The results demonstrate that deep belief networks with the cuckoo search algorithm have achieved good performance with an accuracy of 89.2% from Cleveland, 89.5% from South Africa, and 89.7% from Z-Alizadeh Sani, 90.2% from Framingham, and 91.2% from Statlog cardiac disease datasets. |
| first_indexed | 2024-04-12T13:02:04Z |
| format | Article |
| id | doaj.art-fe2e8e5ba82647eb9735de9133e7602a |
| institution | Directory Open Access Journal |
| issn | 2667-3053 |
| language | English |
| last_indexed | 2024-04-12T13:02:04Z |
| publishDate | 2022-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Intelligent Systems with Applications |
| spelling | doaj.art-fe2e8e5ba82647eb9735de9133e7602a2022-12-22T03:32:08ZengElsevierIntelligent Systems with Applications2667-30532022-11-0116200131Cardiac disease detection using cuckoo search enabled deep belief networkNandakumar P0Subhashini Narayan1School of Information Technology and Engineering, Vellore Institute of TechnologyCorresponding author.; School of Information Technology and Engineering, Vellore Institute of TechnologyCardiac disease is the most infected disease in the world nowadays for all ages of people. An emergency need arises to predict cardiac disease accurately in a short time. In this article, hamming distance feature selection method is proposed for the data preprocessing and data cleaning process in different cardiac disease datasets. Deep learning model such as deep belief networks is used with cuckoo search bio-inspired algorithm for finding the accurate prediction of cardiac disease. The results demonstrate that deep belief networks with the cuckoo search algorithm have achieved good performance with an accuracy of 89.2% from Cleveland, 89.5% from South Africa, and 89.7% from Z-Alizadeh Sani, 90.2% from Framingham, and 91.2% from Statlog cardiac disease datasets.http://www.sciencedirect.com/science/article/pii/S2667305322000680Cardiac diseaseDeep learningBio-inspired algorithmOptimization |
| spellingShingle | Nandakumar P Subhashini Narayan Cardiac disease detection using cuckoo search enabled deep belief network Intelligent Systems with Applications Cardiac disease Deep learning Bio-inspired algorithm Optimization |
| title | Cardiac disease detection using cuckoo search enabled deep belief network |
| title_full | Cardiac disease detection using cuckoo search enabled deep belief network |
| title_fullStr | Cardiac disease detection using cuckoo search enabled deep belief network |
| title_full_unstemmed | Cardiac disease detection using cuckoo search enabled deep belief network |
| title_short | Cardiac disease detection using cuckoo search enabled deep belief network |
| title_sort | cardiac disease detection using cuckoo search enabled deep belief network |
| topic | Cardiac disease Deep learning Bio-inspired algorithm Optimization |
| url | http://www.sciencedirect.com/science/article/pii/S2667305322000680 |
| work_keys_str_mv | AT nandakumarp cardiacdiseasedetectionusingcuckoosearchenableddeepbeliefnetwork AT subhashininarayan cardiacdiseasedetectionusingcuckoosearchenableddeepbeliefnetwork |