CVD Detection using AI-based Systems
| dc.contributor.author | MOULEY SLIMANE, SIdi Mohamed | |
| dc.contributor.author | ZIRARI, MUstapha | |
| dc.date.accessioned | 2022-06-05T13:20:20Z | |
| dc.date.available | 2022-06-05T13:20:20Z | |
| dc.date.issued | 2020 | |
| dc.description | Mr Rahmoun A Encadreur Mr Bensenane H. Co-encadreur | en_US |
| dc.description.abstract | Since the emergence of Artificial Intelligence and its importance and impact on several day to day problems, we have seen a great need for its use in the Healthcare field through complex and rigorous compositions. We’ve prepared in this document, a research about several recent methods and algorithms that have been done by researchers to apply Artificial Intelligence in the field of Healthcare. Our research focuses on the use of Artificial Intelligence in the detection of Cardiovascular Diseases using the Electrocardiogram. | en_US |
| dc.identifier.uri | https://repository.esi-sba.dz/jspui/handle/123456789/289 | |
| dc.language.iso | en | en_US |
| dc.subject | Artificial Intelligence | en_US |
| dc.subject | AI | en_US |
| dc.subject | Healthcare | en_US |
| dc.subject | Electrocardiogram, | en_US |
| dc.subject | ECG | en_US |
| dc.subject | Cardiovascular Diseases | en_US |
| dc.subject | E-Health | en_US |
| dc.title | CVD Detection using AI-based Systems | en_US |
| dc.type | Thesis | en_US |