15 citations · 16 across the 3 of their papers we have counts for
5 papers
Enhancing Transparency and Traceability in Healthcare AI: The AI Product Passport
A. Anil Sinaci, Senan Postaci, Dogukan Cavdaroglu +6
Objective: To develop the AI Product Passport, a standards-based framework improving transparency, traceability, and compliance in healthcare AI via lifecycle-based documentation.…
Interpretable phenotyping of Heart Failure patients with Dutch discharge letters
Vittorio Torri, Machteld J. Boonstra, Marielle C. van de Veerdonk +6
Objective: Heart failure (HF) patients present with diverse phenotypes affecting treatment and prognosis. This study evaluates models for phenotyping HF patients based on left vent…
A Transformer-based survival model for prediction of all-cause mortality in heart failure patients: a multi-cohort study
Shishir Rao, Nouman Ahmed, Gholamreza Salimi-Khorshidi +8
We developed and validated TRisk, a Transformer-based AI model predicting 36-month mortality in heart failure patients by analysing temporal patient journeys from UK electronic hea…
Real-time imputation of missing predictor values in clinical practice
Steven WJ Nijman, Jeroen Hoogland, T Katrien J Groenhof +6
Use of prediction models is widely recommended by clinical guidelines, but usually requires complete information on all predictors that is not always available in daily practice. W…
Multimodal Learning for Cardiovascular Risk Prediction using EHR Data
Ayoub Bagheri, T. Katrien J. Groenhof, Wouter B. Veldhuis +3
Electronic health records (EHRs) contain structured and unstructured data of significant clinical and research value. Various machine learning approaches have been developed to emp…