Scientific article
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Radiomics-based machine learning model to predict risk of death within 5-years in clear cell renal cell carcinoma patients

Published inComputers in Biology and Medicine, vol. 129, 104135
Publication date2021
Abstract

The aim of this study was to develop radiomics–based machine learning models based on extracted radiomic features and clinical information to predict the risk of death within 5 years for prognosis of clear cell renal cell carcinoma (ccRCC) patients.

Keywords
  • CT
  • Machine learning
  • Radiomics
  • Renal cell carcinoma
  • Survival prediction
Citation (ISO format)
NAZARI, Mostafa, SHIRI LORD, Isaac, ZAIDI, Habib. Radiomics-based machine learning model to predict risk of death within 5-years in clear cell renal cell carcinoma patients. In: Computers in Biology and Medicine, 2021, vol. 129, p. 104135. doi: 10.1016/j.compbiomed.2020.104135
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Article (Published version)
Identifiers
Journal ISSN0010-4825
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Technical informations

Creation27/11/2020 12:05:00
First validation27/11/2020 12:05:00
Update time16/03/2023 00:01:21
Status update16/03/2023 00:01:20
Last indexation31/10/2024 21:14:42
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