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  • / Machine learning to classify clinically meaningful patient groups by ESAS symptom clusters in oropharyngeal cancer patients undergoing initial treatment.

Machine learning to classify clinically meaningful patient groups by ESAS symptom clusters in oropharyngeal cancer patients undergoing initial treatment.

Abstract Poster

Authors

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Ghazal Haddad

Faculty of Medicine, University of Toronto, Toronto, ON, Canada

Ghazal Haddad, Katrina Hueniken, Scott Victor Bratman, John R de Almeida, David Paul Goldstein, Shao Hui Huang, Aaron Richard Hansen, Andrew J. Hope, Anna Spreafico, Wei Xu, Geoffrey Liu

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Poster Details

Meeting

2020 ASCO Quality Care Symposium

Session Type

Poster Session

Session Title

On-Demand Poster Session: Patient Experience

Track

Patient Experience

Sub Track

Symptom Prevention, Assessment, and Management

Citation

J Clin Oncol 38, 2020 (suppl 29; abstr 171)

DOI

10.1200/JCO.2020.38.29_suppl.171

Abstract #

171

Poster Bd #

Online Only

Abstract Disclosures

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