A comparison of machine learning methods for predicting recurrence and death after curative-intent radiotherapy for non-small cell lung cancer: Development and validation of multivariable clinical prediction models-Reference-Cited by-同舟云学术

A comparison of machine learning methods for predicting recurrence and death after curative-intent radiotherapy for non-small cell lung cancer: Development and validation of multivariable clinical prediction models

Published:2022-03 Issue: Volume:77 Page:103911
ISSN:2352-3964
Container-title:eBioMedicine
language:en
Short-container-title:eBioMedicine

Author:

Hindocha Sumeet^ORCID,Charlton Thomas G.,Linton-Reid Kristofer^ORCID,Hunter Benjamin,Chan Charleen,Ahmed Merina,Robinson Emily J.,Orton Matthew,Ahmad Shahreen,McDonald Fiona,Locke Imogen,Power Danielle,Blackledge Matthew,Lee Richard W.^ORCID,Aboagye Eric O.^ORCID

Publisher

Elsevier BV

Subject

General Biochemistry, Genetics and Molecular Biology,General Medicine

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