OSIRIS: A Minimum Data Set for Data Sharing and Interoperability in Oncology.

Julien GuerinYec'han LaizetVincent Le TexierLaetitia ChanasBastien RanceFlorence KoeppelFrançois LionSophie GourgouAnne-Laure MartinManuel TejedaMaud ToulmondeStéphanie CoxElisabeth HessMarina Rousseau-TsangarisVianney JouhetPierre Saintigny

Published in: JCO clinical cancer informatics (2021)

Using a national and bottom-up approach, the OSIRIS group has defined a model including a minimal set of clinical and genomic data that can be used to accelerate data sharing produced in oncology. The model relies on clear and formally defined terminologies and, as such, may also benefit the larger international community.

Keyphrases

electronic health record
big data
healthcare
social media
mental health
data analysis
machine learning
dna methylation
deep learning
genome wide