Learning from data to predict future symptoms of oncology patients.
Effective symptom management is a critical component of cancer treatment. Computational tools that predict the course and severity of these symptoms have the potential to assist oncology clinicians to personalize the patient's treatment regimen more efficiently and provide more aggressive and t...
Main Authors: | , , , , , , , , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2018-01-01
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Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0208808 |