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

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Title		Radiomics-based machine learning model to predict risk of death within 5-years in clear cell renal cell carcinoma patients
Authors		Nazari, Mostafa Shiri Lord, Isaac Zaidi, Habib
Published in		Computers in biology and medicine. 2021, vol. 129, 104135
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
Identifiers		DOI: 10.1016/j.compbiomed.2020.104135 PMID: 33254045
Full text		Article (Published version) (3 MB) - Free access Other version: https://linkinghub.elsevier.com/retrieve/pii/S0010482520304662
Structures		Faculté de médecine / Section de médecine clinique / Département de radiologie et informatique médicale
Research group		Imagerie Médicale (TEP et TEMP) (542)
Project		Swiss National Science Foundation: 320030_176052
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 https://archive-ouverte.unige.ch/unige:148868