Data Science, Health Data and Artificial Intelligence

This workshop is organized in partnership with Datacraft and the AP-HP Health Data Warehouse.

It will bring together experts in data science, artificial intelligence and medical data, with the following objectives:

1. To present the AP-HP health data warehouse, its structure, and existing datasets (real or synthetic)

2) To help enhance skills development on health data issues through specific events (recurring workshops, exchanges of good practices) in order, for example, to show how to prepare data, share them securely, evaluate their quality, deal with the reliability and bias of algorithms, work on small data sets, etc.

3) Develop a research dynamic around the AP-HP's health data warehouse data.

Program

14.00 - Welcome and objectives
14.20 - EDS presentation 
15.20 - Theme 1: Vision/Segmentation: Aniss Acherar, image analysis in the field of malaria & clinical evaluation
16.00 - Break
16.20 - Theme 2: "FAIRification" of data: Nicolas Paris 
17.00 - Theme 3: NLP : Perceval Wajsbürt, Data generation from rules (methodology), standardization of medical concepts in texts
17.40 - Discussion: next steps & possible collaborations
18.00 - End