SOURCE-LINKED INTELLIGENCE

AI powered Data Curation & Publishing Virtual Assistant

CORDIS · observation · Publication date unknown

fication of collected health data, in compliance with EU data privacy; 2) knowledge graphs with ontology-based standards as universal representation, to increase interoperability and portability; 3) deep learning for information extraction from narrative content; and 4) AI-generated explanations during the process to increase users? confidence. By increasing automation of data quality enhancement, AIDAVA will decrease the workload of clinical data stewards; by providing high-quality data, AIDAVA will improve the effectiveness of clinical care and support clinical research. In the long-term, AIDAVA has the potential to democratise participation in data curation & publishing by citizens/patients leading to overall savings in health care costs (through disease prevention, early diagnosis, personalized medicine) and supporting delivery of the European Health Data Space. patient centricity, data intermediaries, intelligent virtual assistant, personal health knowledge graph, explainability & trustworthiness, deep learning/NLP and machine learning models, data curation

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recordType

award

status

SIGNED

region

EU

value

7720615

unit

EUR