EHDEN - D3.8 - Final Report Pipeline

Le résumé fourni par la source

The goal of WP3 “Personalized Medicine” is to establish a standardized process to enable personalized decision-making that can be utilized for multiple outcomes of interest and can be applied to observational healthcare data from any patient subpopulation. In the first report (D3.2) on the implementation of the analytical pipeline for personalized medicine, we introduced the analytical pipelines for Patient-Level Prediction and Population-Level Effect Estimation. Furthermore, we discussed our initial work for the development of a pipeline for Risk Stratified Effect Estimation to assess heterogeneity of treatment effect. In the second report (D3.4) we provided an update on the work done in the second year, including heterogeneity of treatment effect (HTE), and disease trajectory analyses. That deliverable included an overview of use cases in which the analytical pipelines have been applied and described the advances made in methodological research, the start of a natural language processing pipeline, and work done to develop a pipeline for disease trajectories. In the third report (D3.6) we provided further updates to the methodological research and the introduction of new tools including exhaustive search and frequent pattern mining, the use of unstructured data in predictive analytics as well s publishing a systematic review on clinical prediction modelling. In this final report (D3.8) we introduce new additional analytical tools and provide a further update on the methodological research and clinical applications. This work falls under Task 3.2. “Development of an integrated patient-level prediction pipeline” (M6-M60), Task 3.3 “Development of an integrated risk-effect estimation pipeline” (M6-M60), and Task 3.4 “Development of a pipeline for disease trajectory analysis” (M12-M36).

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.