Yayın: Mechanical complication prediction in well-aligned adult spinal deformity patients, privacy-preserving ml inferences with blockchain applications
| dc.contributor.advisor | dan. Osman Uğur Sezerman | |
| dc.contributor.author | Balaban, Barış | |
| dc.date.accessioned | 2026-07-09T07:58:23Z | |
| dc.date.issued | 2025-01-01 | |
| dc.department | Department of Biostatistics and Bioinformatics | |
| dc.format.extent | xv, 130 s. tbl., şkl. | |
| dc.identifier.uri | https://openaccess.acibadem.edu.tr/handle/11443/10127 | |
| dc.institution | Institute Of Health Sciences | |
| dc.language.iso | en | |
| dc.publisher | Acıbadem Mehmet Ali Aydınlar Üniversitesi | |
| dc.subject | Adult spinal deformity | |
| dc.subject | Mechanical complications | |
| dc.subject | Machine learning | |
| dc.subject | Privacy-preserving machine learning | |
| dc.subject | Homomorphic encryption | |
| dc.title | Mechanical complication prediction in well-aligned adult spinal deformity patients, privacy-preserving ml inferences with blockchain applications | |
| dc.type | doctoralthesis | |
| dspace.entity.type | Publication |
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