5 papers
From Latent Biomarkers to Clinical Rules: Embedding-Guided Rule Mining and Attribution-Based Translation for Interpretable Tabular Learning
Majid Lotfian Delouee, Hamed Ayoobi, Sjors G. J. G. In 't Veld +1
Clinical decision support tools are most useful when accurate predictions are accompanied by understandable explanations. Rule-based models provide transparency, but rules derived…
A Comparative Framework for Evaluating Foundation Models on Tabular Data: A Case Study in Healthcare
Majid Lotfian Delouee, Sjors G. J. G. In 't Veld, Martijn C. Schut
Tabular data is the most common format in clinical practice, encompassing laboratory results, medication records, diagnostic codes, and patient demographics. As foundation models f…
A Correspondence Score for Validating Learned Patient Representations in Clinical Tabular Data
Majid Lotfian Delouee, Sjors G. J. G. In 't Veld, Martijn C. Schut
Identifying patients with similar clinical characteristics is important for cohort discovery, clinical decision support, and personalized medicine. However, it is unclear whether l…
Embedding-Based Federated Learning with Runtime Governance for Iron Deficiency Prediction
Fan Zhang, Simon Deltadahl, Majid Lotfian Delouee +10
Recent reviews find that the vast majority of published healthcare federated learning (FL) studies never reach real-world deployment. We developed an embedding-based FL pipeline fo…
Recent Methodological Advances in Federated Learning for Healthcare
Fan Zhang, Daniel Kreuter, Yichen Chen +10
For healthcare datasets, it is often not possible to combine data samples from multiple sites due to ethical, privacy or logistical concerns. Federated learning allows for the util…