Interpretable Machine Learning Model for Locoregional Relapse Prediction in Oropharyngeal Cancers
Interpretable Machine Learning Model for Locoregional Relapse Prediction in Oropharyngeal Cancers
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Publisher
MDPI
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Language
English
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Publisher
MDPI
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Contents
Background: There is no evidence to support surgery or radiotherapy as the best treatment for resectable oropharyngeal cancers with a negative HPV status. Predictive algorithms may help to decide which strategy to choose, but they will only be accepted by caregivers and European authorities if they are interpretable. As a proof of concept, we devel...
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Full title
Interpretable Machine Learning Model for Locoregional Relapse Prediction in Oropharyngeal Cancers
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TN_cdi_hal_primary_oai_HAL_halshs_03428057v1
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_hal_primary_oai_HAL_halshs_03428057v1
Other Identifiers
ISSN
2072-6694
E-ISSN
2072-6694
DOI
10.3390/cancers13010057
