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Immunological variables and tumor types influence one-year survival probability in cancer patients: A comprehensive analysis using logistic regression and decision tree models

2023-10-26

Abstract excerpt

The present study aimed to explore immunological variables associated with survival, TP53 gene expression, and primary diagnosis in patients with cancer. Based on these variables, logistic regression and decision tree models (lightGBM) were used to model the probability of one-year survival of patients following their initial diagnosis. Logistic regression revealed the significance of primary diagnosis categories...

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Literature Corpus work
a6819bb4-8929-5290-91f1-636a3557f97a
DOI
10.1101/2023.10.25.23297566
Open publication

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Immunological variables and tumor types influence one-year survival probability in cancer patients: A comprehensive analysis using logistic regression and decision tree modelsDOI 10.1101/2023.10.25.23297566
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