Scientific article

Open access

English

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

ContributorsNazari, Mostafa; Shiri Lord, Isaac

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

Affiliation

Faculté de médecine / Section de médecine clinique / Département de radiologie et informatique médicale

Research group

Imagerie Médicale (TEP et TEMP) (542)

Funding

Swiss National Science Foundation - Towards patient-specific hybrid whole-body PET parametric imaging [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

Article (Published version)

accessLevelPublic

Identifiers

PID : unige:148868
DOI : 10.1016/j.compbiomed.2020.104135
PMID : 33254045

Commercial URLhttps://linkinghub.elsevier.com/retrieve/pii/S0010482520304662

ISSN of the journal0010-4825

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Creation11/27/2020 12:05:00 PM

First validation11/27/2020 12:05:00 PM

Update time03/16/2023 12:01:21 AM

Status update03/16/2023 12:01:20 AM

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