https://mw.hh.se/caisr/index.php?action=history&feed=atom&title=Domain_Adaptation_for_Survival_AnalysisDomain Adaptation for Survival Analysis - Revision history2026-04-04T12:58:31ZRevision history for this page on the wikiMediaWiki 1.35.13https://mw.hh.se/caisr/index.php?title=Domain_Adaptation_for_Survival_Analysis&diff=5596&oldid=prevIslab: Developing robust domain adaptation methods for survival analysis2025-10-20T14:14:30Z<p>Developing robust domain adaptation methods for survival analysis</p>
<p><b>New page</b></p><div>{{StudentProjectTemplate<br />
|Summary=Developing robust domain adaptation methods for survival analysis<br />
|Keywords=Domain Adaptation, Survival Analysis<br />
|Supervisor=Abdallah Alabdallah, Zahra Taghiyarrenani<br />
|Level=Master<br />
|Status=Open<br />
}}<br />
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.</div>Islab