Domain Adaptation for Survival Analysis
From ISLAB/CAISR
Jump to navigationJump to search| Title | Domain Adaptation for Survival Analysis |
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| Summary | Developing robust domain adaptation methods for survival analysis |
| Keywords | Domain Adaptation, Survival AnalysisProperty "Keywords" has a restricted application area and cannot be used as annotation property by a user. |
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| Author | |
| Supervisor | Abdallah Alabdallah, Zahra Taghiyarrenani |
| Level | Master |
| Status | Open |
This thesis explores domain adaptation techniques to enhance the robustness and generalizability of survival models across diverse clinical datasets. The core objective is to develop novel methodologies that learn domain-invariant feature representations, enabling accurate time-to-event predictions in a target domain distinct from the source. A significant focus will be to investigate how specific characteristics of survival data, particularly the presence and distribution of censored observations, impact transferability and pose unique challenges for adaptation algorithms.
