Zucker, Kieran
ORCID: https://orcid.org/0000-0003-4385-3153
(2021)
The Application of Computational Statistics, Data Science and Machine Learning in the Assessment of Comorbidity and Cancer Survival.
PhD thesis, University of Leeds.
Metadata
| Supervisors: | Hall, Geoff and Glaser, Adam and Baxter, Paul |
|---|---|
| Keywords: | Comorbidity, cancer, oncology, survival, machine learning, data science, statistical computing, random forests, competing risks |
| Awarding institution: | University of Leeds |
| Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) |
| Identification Number/EthosID: | uk.bl.ethos.837115 |
| Depositing User: | Dr Kieran Zucker |
| Date Deposited: | 13 Sep 2021 13:56 |
| Last Modified: | 11 Oct 2023 09:53 |
| Open Archives Initiative ID (OAI ID): | oai:etheses.whiterose.ac.uk:29394 |
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