Area of research
Artificial Intelligence · Statistics, Probability and Uncertainty
Research interest
Research interests include Computer science, Artificial intelligence, Pipeline (software), Medical diagnosis, Terminology, and Biobank.
On Text-based Personality Computing: Challenges and Future Directions
Active learning-based Systematic reviewing using switching classification models: the case of the onset, maintenance, and relapse of depressive disorders
Automatic multilabel detection of ICD10 codes in Dutch cardiology discharge letters using neural networks
Big Data and Artificial Intelligence: Opportunities and Threats in Electrophysiology
ETM: Enrichment by topic modeling for automated clinical sentence classification to detect patients’ disease history
UNRAVEL: big data analytics research data platform to improve care of patients with cardiomyopathies using routine electronic health records and standardised biobanking