Data scarcity presents a significant obstacle in the field of biomedicine, where acquiring diverse and sufficient datasets can be costly and challenging. Synthetic data generation offers a potential s
Strokes can be ischaemic or haemorrhagic in nature, leading to debilitating symptoms which are dependent on the location of the stroke in the brain and the severity of the insult. Stroke care is cent
Synthetic data generated to represent the structure of data extracted from the UCLH Electronic Health Record. They are selected tables and fields from the OMOP Common Data Model v5.4 with concept_name
Supporting datasets (iid and ood) used in the evaluation experiments of the paper "Why did AI get this one wrong? - tree-based explanations of machine learning model predictions" by Parimbelli, Buonoc
This describes the datasets used for training and evaluation Onto-CGAN model sourced from the MIMIC-IV Clinical Database V2.2. The query script used for data extraction is listed below. Due to the res