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- W4384807098 abstract "Due to the presence of multiple types of adverse events with different levels of severity, the analysis of longitudinal toxicity data is a difficult task in cancer studies. In this work, a novel approach based on latent Markov models and compositional data techniques is proposed. The latent status of interest is the Latent Overall Toxicity (LOTox) condition of each patient. The main objectives consist in identifying different latent states of overall toxicity burden and investigating the evolution of individual toxicity risk during cancer treatment. This methodology is applied to osteosarcoma treatment data to provide novel techniques that may support medical decisions in childhood cancer therapy." @default.
- W4384807098 created "2023-07-20" @default.
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- W4384807098 date "2021-07-27" @default.
- W4384807098 modified "2023-09-26" @default.
- W4384807098 title "Longitudinal Latent Overall Toxicity (LOTox) profiles in osteosarcoma: a new taxonomy based on latent Markov models" @default.
- W4384807098 doi "https://doi.org/10.48550/arxiv.2107.12863" @default.
- W4384807098 hasPublicationYear "2021" @default.
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