Jens Declerck
Health Data Quality Researcher
Expertise:
- Data quality and biases towards AI
- Explainability using data quality assessments
- Understanding data sources towards extracting and harmonizing data for training AI
- How AI might bring value in hospitals and specific towards creating more data quality maturity
My expertise
- Data quality and biases towards AI
- Explainability using data quality assessments
- Understanding data sources towards extracting and harmonizing data for training AI
- How AI might bring value in hospitals and specific towards creating more data quality maturity
- Explainability using data quality assessments
- Understanding data sources towards extracting and harmonizing data for training AI
- How AI might bring value in hospitals and specific towards creating more data quality maturity
Domain/sector
- Computer Science & IT
- Healthcare, Biomedical Sciences & Sports
Organisation
Personal info
My knowledge level is: No prior knowledge required, Basic knowledge, Intermediate
courses
AI in Healthcare: Bridging Technology and Humanity
symposium - Ghent - GHALL, HINT.Gent, VAIA
Blog posts
Data Quality: the Key to Trustworthy AI in Care
For AI to truly support patients and healthcare professionals, the data needs to be right. But how do you ensure high data quality in a complex healthcare setting – and keep it that way? Jens Declerck from i-HD points the way.