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postgraduate thesis: Real world population analysis on risk factors for early mortality in older adults with cancer on systemic treatment

TitleReal world population analysis on risk factors for early mortality in older adults with cancer on systemic treatment
Authors
Issue Date2024
PublisherThe University of Hong Kong (Pokfulam, Hong Kong)
Citation
Gu, M. [顾梦衣]. (2024). Real world population analysis on risk factors for early mortality in older adults with cancer on systemic treatment. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR.
DegreeMaster of Medical Sciences
SubjectCancer - Patients
Older people
Cancer - Treatment
Mortality
Dept/ProgramDiagnostic Radiology
Persistent Identifierhttp://hdl.handle.net/10722/355547

 

DC FieldValueLanguage
dc.contributor.authorGu, Mengyi-
dc.contributor.author顾梦衣-
dc.date.accessioned2025-04-16T08:02:38Z-
dc.date.available2025-04-16T08:02:38Z-
dc.date.issued2024-
dc.identifier.citationGu, M. [顾梦衣]. (2024). Real world population analysis on risk factors for early mortality in older adults with cancer on systemic treatment. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR.-
dc.identifier.urihttp://hdl.handle.net/10722/355547-
dc.languageeng-
dc.publisherThe University of Hong Kong (Pokfulam, Hong Kong)-
dc.relation.ispartofHKU Theses Online (HKUTO)-
dc.rightsThe author retains all proprietary rights, (such as patent rights) and the right to use in future works.-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subject.lcshCancer - Patients-
dc.subject.lcshOlder people-
dc.subject.lcshCancer - Treatment-
dc.subject.lcshMortality-
dc.titleReal world population analysis on risk factors for early mortality in older adults with cancer on systemic treatment-
dc.typePG_Thesis-
dc.description.thesisnameMaster of Medical Sciences-
dc.description.thesislevelMaster-
dc.description.thesisdisciplineDiagnostic Radiology-
dc.description.naturepublished_or_final_version-
dc.date.hkucongregation2024-
dc.identifier.mmsid991044926591103414-

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