Predicting survival status of lung cancer patients using machine learning

Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/26944

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DC Field	Value	Language
dc.contributor.advisor	Jeremic, Aleksandar	-
dc.contributor.author	Mohan, Aishwarya	-
dc.date.accessioned	2021-10-01T15:32:18Z	-
dc.date.available	2021-10-01T15:32:18Z	-
dc.date.issued	2021	-
dc.identifier.uri	http://hdl.handle.net/11375/26944	-
dc.description.abstract	5-year survival rate of patients with metastasized non-small cell lung cancer (NSCLC) who received chemotherapy was less than 5% (Kathryn C. Arbour, 2019). Our ability to provide survival status of a patient i.e. Alive or death at any time in future is important from at least two standpoints: a) from clinical standpoint it enables clinicians to provide optimal delivery of healthcare and b) from personal standpoint by providing patient’s family with opportunities to plan their life ahead and potentially cope with emotional aspect of loss of life.	en_US
dc.language.iso	en_US	en_US
dc.subject	Lung cancer, machine learning	en_US
dc.title	Predicting survival status of lung cancer patients using machine learning	en_US
dc.type	Thesis	en_US
dc.contributor.department	Electrical and Computer Engineering	en_US
dc.description.degreetype	Thesis	en_US
dc.description.degree	Master of Applied Science (MASc)	en_US
Appears in Collections:	Open Access Dissertations and Theses

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