Dataset to develop diagnostic and predictive tools addressing IA rupture risk. ICAN

Description

ICAN (https://doi.org/10.1093/neuros/nyw135) is a French research program aimed at better understanding the pathophysiology of intracranial aneurysm (IA). One of the addressed challenges is to develop diagnostic and predictive tools addressing IA rupture risk. For computational reproducibility, we provide here a simulated clinical dataset tooled with Python and R notebooks. This material supports the paper "Location of intracranial aneurysms is the main factor associated with rupture in the ICAN population" published at https://jnnp.bmj.com/content/92/2/122.abstract.

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Dernière mise à jour
27 juin 2025

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2 Fichier principal

Schéma:https://github.com/jp3142/OFSEP_HD_public_avatar_dataset/blob/main/variable_dictionary_avatar_dataset.ods
Mis à jour le 8 juillet 2025 csv 4

Schéma:https://github.com/ICAN-aneurysms/RIA-predict
Mis à jour le 8 juillet 2025 csv 2
1 Documentation

Schéma:https://github.com/ICAN-aneurysms/RIA-predict
Mis à jour le 8 juillet 2025 pdf 2