Identification of important factors in an inpatient fall risk prediction model to improve the quality of care using EHR and electronic administrative data: A machine-learning approach. - David S. Lindberg; Mattia Prosperi; Ragnhildur I. Bjarnadottir; Jaime Thomas; Marsha Crane; Zhaoyi Chen; Kristen Shear; Laurence M. Solberg; Urszula Alina Snigurska; Yonghui Wu; Yunpeng Xia; Robert J. Lucero (Int. J. Medical Informatics, 2020)

Secondary care provider attitudes towards patient generated health data from smartwatches. - Jordan Alpert; Todd M. Manini; Megan Roberts; Naga S. Prabhakar Kota; Tonatiuh Mendoza; Laurence M. Solberg; Parisa Rashidi (npj Digit. Medicine, 2020)

Application of a practice-based approach in variable selection for a prediction model development study of hospital-induced delirium. - Urszula Alina Snigurska; Sarah E. Ser; Laurence M. Solberg; Mattia Prosperi; Tanja Magoc; Zhaoyi Chen; Jiang Bian 001; Ragnhildur I. Bjarnadottir; Robert J. Lucero (BMC Medical Informatics Decis. Mak., 2023)

Identifying Symptoms of Delirium from Clinical Narratives Using Natural Language Processing. - Aokun Chen; Daniel Paredes; Zehao Yu 001; Xiwei Lou; Roberta Brunson; Jamie N. Thomas; Kimberly A. Martinez; Robert J. Lucero; Tanja Magoc; Laurence M. Solberg; Urszula Alina Snigurska; Sarah E. Ser; et al. (ICHI, 2024)

Unveiling Fall Risk Factors: Nurse-Driven Corpus Development for Natural Language Processing. - Ragnhildur I. Bjarnadottir; Yonghui Wu; Urszula Alina Snigurska; Sarah E. Ser; Laurence M. Solberg; Kimberly A. Martinez; Summer Bolin; Shannon E. Dwarica; Elizabeth Dunn; Laurie J. D. Duckworth; Xiwei Lou; Daniel Paredes; et al. (Nursing Informatics, 2024)