Identification of serious illness conversations in unstructured clinical notes using deep neural networks. - Isabel Chien; Alvin Shi; Alex Chan; Charlotta Lindvall (AIH@IJCAI, 2018)

DIVINE: Diverse Influential Training Points for Data Visualization and Model Refinement. - Umang Bhatt; Isabel Chien; Muhammad Bilal Zafar; Adrian Weller (CoRR, 2021)

Multi-disciplinary fairness considerations in machine learning for clinical trials. - Isabel Chien; Nina Deliu; Richard E. Turner; Adrian Weller; Sofia S. Villar; Niki Kilbertus (FAccT, 2022)

Safe Exploration in Dose Finding Clinical Trials with Heterogeneous Participants. - Isabel Chien; Javier González Hernández; Richard E. Turner (TML4H, 2023)

TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models. - Javier González Hernández; Cliff Wong; Zelalem Gero; Jass Bagga; Risa Ueno; Isabel Chien; Eduard Oravkin; Emre Kiciman; Aditya V. Nori; Roshanthi Weerasinghe; Rom S. Leidner; Brian Piening; et al. (CoRR, 2023)

Safe Exploration in Dose Finding Clinical Trials with Heterogeneous Participants. - Isabel Chien; Wessel P. Bruinsma; Javier González Hernández; Richard E. Turner (ICML, 2024)

Beyond Clinical Trials: Using Real World Evidence to Investigate Heterogeneous, Time-Varying Treatment Effects. - Isabel Chien; Cliff Wong; Zelalem Gero; Jaspreet Bagga; Risa Ueno; Richard E. Turner; Roshanthi Weerasinghe; Brian Piening; Tristan Naumann; Carlo Bifulco; Hoifung Poon; Javier González Hernández (MLHC, 2024)