A software package for simple and rigorous survival machine learning analysis in biomedical research

Abstract excerpt

Survival analysis is a fundamental technique in biomedical research for modeling time-to-event data. It enables the identification of prognostic factors in disease, compares survival outcomes across treatment groups, and performs targeted treatment selection. A variety of machine learning (ML) approaches to survival analysis have emerged to complement classical statistical methods, especially for high-dimensional...

Topics

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• Bioinformatics and Genomic Networks
• Ferroptosis and cancer prognosis
• Gene expression and cancer classification
• Radiomics and Machine Learning in Medical Imaging

Identifiers and source

Literature Corpus work

037f79bc-b509-53bf-8110-734203ab2861

DOI

10.64898/2026.08.05.26359034