Machine learning based approaches for identification and prediction of syncope
| dc.contributor.guide | Raza, Zahid | |
| dc.coverage.spatial | ||
| dc.creator.researcher | Hussain, Shahadat | |
| dc.date.accessioned | 2024-05-27T08:43:07Z | |
| dc.date.available | 2024-05-27T08:43:07Z | |
| dc.date.awarded | 2023 | |
| dc.date.completed | 2022 | |
| dc.date.registered | ||
| dc.description.abstract | newline | |
| dc.description.note | ||
| dc.format.accompanyingmaterial | DVD | |
| dc.format.dimensions | ||
| dc.format.extent | xv, 132 | |
| dc.identifier.uri | http://hdl.handle.net/10603/566679 | |
| dc.language | English | |
| dc.publisher.institution | School of Computer and System Science | |
| dc.publisher.place | Delhi | |
| dc.publisher.university | Jawaharlal Nehru University | |
| dc.relation | ||
| dc.rights | university | |
| dc.source.university | University | |
| dc.subject.keyword | Health Care Sciences and Services | |
| dc.subject.keyword | Machine learning based approaches for identification | |
| dc.subject.keyword | Prediction of syncope | |
| dc.title | Machine learning based approaches for identification and prediction of syncope | |
| dc.title.alternative | ||
| dc.type.degree | Ph.D. |
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