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Development of an Ensemble Machine Learning-Based Graphical User Interface (GUI) Tool for Predicting Radiation Pneumonitis in Locally Advanced Squamous Cell Lung Cancer Patients Undergoing Concurrent Chemoradiotherapy

2024-09-16

Abstract excerpt

<title>Abstract</title> <p>Background Predicting the development of grade II or higher radiation pneumonitis (RP) in locally advanced squamous cell lung cancer (LASCLC) patients prior to concurrent chemoradiotherapy remains challenging, as traditional indicators based on dose-volume histograms or biological markers typically lack data or assessed post-treatment. In this study, we explored the potential of utiliz...

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Literature Corpus work
056b5c25-21a6-5656-85fc-6811256af6c4
DOI
10.21203/rs.3.rs-4896932/v1
Open publication

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Development of an Ensemble Machine Learning-Based Graphical User Interface (GUI) Tool for Predicting Radiation Pneumonitis in Locally Advanced Squamous Cell Lung Cancer Patients Undergoing Concurrent ChemoradiotherapyDOI 10.21203/rs.3.rs-4896932/v1
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