Article

Machine Learning for Early Prediction of Secondary Cancer Post-Radiotherapy

2025-04-28

Abstract excerpt

<title>Abstract</title> <p>Secondary cancer(SC) following Radiotherapy (RT) represents a significant long-term risk of cancer survivors, necessitating accurate predictive models for early intervention. This study developed a machine learning (ML) model integrating clinical, pathological, and genomic data to predict SC incidence. The model leverages a dataset of 1,240 patients from population based registries and...

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Literature Corpus work: e8d6648b-b62e-5c62-b445-bc60d25068cc
DOI: 10.21203/rs.3.rs-6367739/v1

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