Stelios Theophanous
University of Leeds
Internal medicineOncologyStage (cooking)Clinical endpointChemoradiotherapyDiseaseDistributed learningAnal cancerProportional hazards modelRadiation therapyMedicine
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#1Ananya Choudhury (Maastricht University Medical Centre)H-Index: 2
#2Stelios Theophanous (University of Leeds)
Last. Ane L Appelt (University of Leeds)H-Index: 15
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Abstract Background and purpose Predicting outcomes is challenging in rare cancers. Single-institutional datasets are often small and multi-institutional data sharing is complex. Distributed learning allows machine learning models to use data from multiple institutions without exchanging individual patient-level data. We demonstrate this technique in a proof-of-concept study of anal cancer patients treated with chemoradiotherapy across multiple European countries. Materials and methods atomCAT i...
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