Accurate identification of opioid overdose (OOD) cases in electronic healthcare record (EHR) data is an important element in surveillance, empirical research, and clinical intervention. We sought to improve existing OOD electronic phenotypes by incorporating new data types beyond diagnostic codes and by applying several statistical and machine learning methods.
Author(s): Ward, Ralph, Obeid, Jihad S, Jennings, Lindsey, Szwast, Elizabeth, Hayes, William Garrett, Pipaliya, Royal, Bailey, Cameron, Faul, Skylar, Polyak, Brianna, Baker, George Hamilton, McCauley, Jenna L, Lenert, Leslie A
DOI: 10.1093/jamiaopen/ooad081