14 citations · 17 across the 2 of their papers we have counts for
3 papers
Fairness in TabNet Model by Disentangled Representation for the Prediction of Hospital No-Show
Sabri Boughorbel, Fethi Jarray, Abdou Kadri
Patient no-shows is a major burden for health centers leading to loss of revenue, increased waiting time and deteriorated health outcome. Developing machine learning (ML) models fo…
Federated Uncertainty-Aware Learning for Distributed Hospital EHR Data
Sabri Boughorbel, Fethi Jarray, Neethu Venugopal +3
Recent works have shown that applying Machine Learning to Electronic Health Records (EHR) can strongly accelerate precision medicine. This requires developing models based on diver…
Alternating Loss Correction for Preterm-Birth Prediction from EHR Data with Noisy Labels
Sabri Boughorbel, Fethi Jarray, Neethu Venugopal +1
In this paper we are interested in the prediction of preterm birth based on diagnosis codes from longitudinal EHR. We formulate the prediction problem as a supervised classificatio…