Identifying Actionable Aspects of Frailty in the Text of Encounter Notes. - Jacob A. Martin; Andrew Crane-Droesch; Folasade C. Lapite; Joseph C. Puhl; Jasmine A. Silvestri; Bruce P. Kinosian; Blanca E. Himes; Rebecca A. Hubbard; Vivek N. Ahya; Michael W. Sims; Joshua M. Diamond; Joseph Adler; et al. (AMIA, 2020)

Development and validation of a prediction model for actionable aspects of frailty in the text of clinicians' encounter notes. - Jacob A. Martin; Andrew Crane-Droesch; Folasade C. Lapite; Joseph C. Puhl; Tyler E. Kmiec; Jasmine A. Silvestri; Lyle H. Ungar; Bruce P. Kinosian; Blanca E. Himes; Rebecca A. Hubbard; Joshua M. Diamond; Vivek N. Ahya; et al. (J. Am. Medical Informatics Assoc., 2021)

Word embeddings trained on published case reports are lightweight, effective for clinical tasks, and free of protected health information. - Zachary N. Flamholz; Andrew Crane-Droesch; Lyle H. Ungar; Gary E. Weissman (J. Biomed. Informatics, 2022)

Detecting goals of care conversations in clinical notes with active learning. - Davy Weissenbacher; Katherine R. Courtright; Siddharth Rawal; Andrew Crane-Droesch; Karen O'Connor; Nicholas Kuhl; Corinne Merlino; Anessa Foxwell; Lindsay Haines; Joseph C. Puhl; Graciela Gonzalez-Hernandez (J. Biomed. Informatics, 2024)