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Development and validation of a deep learning survival model for cervical adenocarcinoma patients

13 Apr 2023

Abstract excerpt

BACKGROUND: The aim was to develop a personalized survival prediction deep learning model for cervical adenocarcinoma patients and process personalized survival prediction. METHODS: A total of 2501 cervical adenocarcinoma patients from the surveillance, epidemiology and end results database and 220 patients from Qilu hospital were enrolled in this study. We created our deep learning (DL) model to manipulate the...

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Share to Cervical Cancer and HPV Research
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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 37055729
DOI: 10.1186/s12859-023-05239-7

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