Concept-based model explanations for electronic health records. - Diana Mincu; Eric Loreaux; Shaobo Hou; Sebastien Baur; Ivan Protsyuk; Martin Seneviratne; Anne Mottram; Nenad Tomasev; Alan Karthikesalingam; Jessica Schrouff (CHIL, 2021)

Best of both worlds: local and global explanations with human-understandable concepts. - Jessica Schrouff; Sebastien Baur; Shaobo Hou; Diana Mincu; Eric Loreaux; Ralph Blanes; James Wexler; Alan Karthikesalingam; Been Kim (CoRR, 2021)

Multitask prediction of organ dysfunction in the intensive care unit using sequential subnetwork routing. - Subhrajit Roy; Diana Mincu; Eric Loreaux; Anne Mottram; Ivan Protsyuk; Natalie Harris; Yuan Xue; Jessica Schrouff; Hugh Montgomery; Alistair Connell; Nenad Tomasev; Alan Karthikesalingam; et al. (J. Am. Medical Informatics Assoc., 2021)

Automated LOINC Standardization Using Pre-trained Large Language Models. - Tao Tu 001; Eric Loreaux; Emma Chesley; Ádám D. Lelkes; Paul Gamble; Mathias Bellaiche; Martin Seneviratne; Ming-Jun Chen (ML4H@NeurIPS, 2022)

Boosting the interpretability of clinical risk scores with intervention predictions. - Eric Loreaux; Ke Yu; Jonas Kemp; Martin Seneviratne; Christina Chen; Subhrajit Roy; Ivan Protsyuk; Natalie Harris; Alexander D'Amour; Steve Yadlowsky; Mingjun Chen (CoRR, 2022)

SDOH-NLI: a Dataset for Inferring Social Determinants of Health from Clinical Notes. - Ádám D. Lelkes; Eric Loreaux; Tal Schuster; Ming-Jun Chen; Alvin Rajkomar (EMNLP (Findings), 2023)