Utilizing patient data: A tutorial on predicting second cancer with machine learning models

Utilizing patient data: A tutorial on predicting second cancer with machine learning models

Abstract Background The article explores the potential risk of secondary cancer (SC) due to radiation therapy (RT) and highlights the necessity for new modeling techniques to mitigate this risk. Methods By employing machine learning (ML) models, specifically decision trees, in the research process,...

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Bibliographic Details
Main Authors: Hossein Sadeghi, Fatemeh Seif, Erfan Hatamabadi Farahani, Soraya Khanmohammadi, Shahla Nahidinezhad
Format: Article
Language:English
Published: Wiley 2024-09-01
Series:Cancer Medicine
Subjects:
decision trees
machine learning
precision medicine
radiation dosage
Online Access:https://doi.org/10.1002/cam4.70231
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https://doi.org/10.1002/cam4.70231

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