Combining handcrafted features with latent variables in machine learning for prediction of radiation‐induced lung damage

PURPOSE: There has been burgeoning interest in applying machine learning methods for predicting radiotherapy outcomes. However, the imbalanced ratio of a large number of variables to a limited sample size in radiation oncology constitutes a major challenge. Therefore, dimensionality reduction method...

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Bibliographic Details
Published in:Med Phys
Main Authors: Cui, Sunan, Luo, Yi, Tseng, Huan‐Hsin, Ten Haken, Randall K., El Naqa, Issam
Format: Artigo
Language:Inglês
Published: John Wiley and Sons Inc. 2019
Subjects:
BIOLOGICAL PHYSICS AND RESPONSE PREDICTION
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC6510637/
https://ncbi.nlm.nih.gov/pubmed/30891794
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.13497
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