Applying machine learning and natural language processing to patient safety event reports: Identifying patterns of cardiovascular diagnostic errors.
Saved in:
| Title: | Applying machine learning and natural language processing to patient safety event reports: Identifying patterns of cardiovascular diagnostic errors. |
|---|---|
| Authors: | Tabaie A; Center for Biostatistics, Informatics, and Data Science, MedStar Health Research Institute, Washington, District of Columbia, United States of America.; Department of Emergency Medicine, Georgetown University Medical Center, Washington, District of Columbia, United States of America., Tran AK; Department of Emergency Medicine, Georgetown University Medical Center, Washington, District of Columbia, United States of America.; MedStar Health Research Institute, MedStar Health, Washington, District of Columbia, United States of America.; MedStar Health Institute of Quality and Safety, MedStar Health, Columbia, Maryland, United States of America., Parau C; National Center for Human Factors in Healthcare, MedStar Health Research Institute, Washington, District of Columbia, United States of America., Bennett SS; Center for Biostatistics, Informatics, and Data Science, MedStar Health Research Institute, Washington, District of Columbia, United States of America., Kazi S; Department of Emergency Medicine, Georgetown University Medical Center, Washington, District of Columbia, United States of America.; National Center for Human Factors in Healthcare, MedStar Health Research Institute, Washington, District of Columbia, United States of America., Smith K; Institute of Health Policy, Management & Evaluation, University of Toronto, Toronto, Ontario, Canada.; Patient-Oriented Research, Michael Garron Hospital, Toronto, Ontario, Canada., Yosaitis J; School of Medicine, Georgetown University, Washington, District of Columbia, United States of America.; MedStar Simulation Training & Education Lab, MedStar Institute for Innovation, Washington, District of Columbia, United States of America., Miller KE; Department of Emergency Medicine, Georgetown University Medical Center, Washington, District of Columbia, United States of America.; National Center for Human Factors in Healthcare, MedStar Health Research Institute, Washington, District of Columbia, United States of America. |
| Source: | PloS one [PLoS One] 2026 Apr 10; Vol. 21 (4), pp. e0345693. Date of Electronic Publication: 2026 Apr 10 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 1932-6203 |
|---|---|
| DOI: | 10.1371/journal.pone.0345693 |
