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Early Prediction of Cancer Using Supervised Machine Learning: A Study of Electronic Health Records from the Ministry of National Guard Health Affairs

Alfayez, Asma Abdullah; (2023) Early Prediction of Cancer Using Supervised Machine Learning: A Study of Electronic Health Records from the Ministry of National Guard Health Affairs. Doctoral thesis (Ph.D), UCL (University College London).

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Abstract

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Type: Thesis (Doctoral)
Qualification: Ph.D
Title: Early Prediction of Cancer Using Supervised Machine Learning: A Study of Electronic Health Records from the Ministry of National Guard Health Affairs
Language: English
Additional information: Copyright © The Author 2023. Original content in this thesis is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) Licence (https://creativecommons.org/licenses/by-nc/4.0/). Any third-party copyright material present remains the property of its respective owner(s) and is licensed under its existing terms. Access may initially be restricted at the author’s request.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics
URI: https://discovery.ucl.ac.uk/id/eprint/10179756
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