Tools / models developed
This section contains all public deliverables on tools and models produced by the project.
D9.1: Project ontology and terminology, including data mapper and RDF graph builder
It documents the design and development of the first version of the Brainteaser Ontology (BO) focused, in particular, on retrospective data for Amyotrophic Lateral Sclerosis (ALS) and Multiple Sclerosis (MS).
The BO is innovative since it relies on very few seed concepts – Patient, Clinical Trial, Disease, Event – which allow us to jointly model ALS and MS and to grasp the time dimension entailed by the progression of such diseases.
D9.2 Project Ontology and Terminology, Including Data Mapper and RDF Graph Builder
Ths deliverable documents the design and development of the second version of BRAINTEASER Ontology (BTO), the ontology developed in the context of BRAINTEASER project, to provide a unifying data structure and ontologically model clinical data concerning patients affected by Amyotrophic Lateral Sclerosis (ALS) and Multiple Sclerosis (MS).
D9.4 Shared data package for the evaluation challenge and integration with EOSC
This deliverable presents the steps we undertook to ingest, process, analyse and prepare the training and testing datasets for the Intelligent Disease Progression Prediction (iDPP) lab at CLEF 2022.
D9.5 Shared Data Package for the Evaluation Challenge and Integration with EOSC
This deliverable presents the steps we undertook to ingest, process, analyse and prepare the training and testing datasets for the Intelligent Disease Progression Prediction (iDPP) lab at CLEF 2023.
D9.7 Evaluation Challenge: Report on the Analysis of the Experimental Results, Proceedings, and Integration with EOSC
This deliverable describes iDPP@CLEF 2022 (Intelligent Disease Progression Prediction at CLEF), the challenge organized by the BRAINTEASER project to promote the comparative evaluation of AI algorithms for the prediction of the progression of Amyotrophic Lateral Sclerosis (ALS).