30‐day all‐cause prediction model for readmissions for heart failure patients: a comparative study of machine learning approaches
| dc.contributor.advisor | Sagar Kamarthi, Ph.D | |
| dc.contributor.author | AMAL ABDULLAH M BUKHARI | |
| dc.date | 2019 | |
| dc.date.accessioned | 2022-06-01T03:30:46Z | |
| dc.date.available | 2022-06-01T03:30:46Z | |
| dc.degree.department | Interdisciplinary Enginnering | |
| dc.identifier.other | 37334 | |
| dc.identifier.uri | https://drepo.sdl.edu.sa/handle/20.500.14154/55597 | |
| dc.publisher | Saudi Digital Library | |
| dc.title | 30‐day all‐cause prediction model for readmissions for heart failure patients: a comparative study of machine learning approaches | |
| dc.type | Thesis | |
| sdl.thesis.level | Doctoral | |
| sdl.thesis.source | SACM - United States of America |