320 related articles for article (PubMed ID: 28606174)
1. Using multiclass classification to automate the identification of patient safety incident reports by type and severity.
Wang Y; Coiera E; Runciman W; Magrabi F
BMC Med Inform Decis Mak; 2017 Jun; 17(1):84. PubMed ID: 28606174
[TBL] [Abstract][Full Text] [Related]
2. Using convolutional neural networks to identify patient safety incident reports by type and severity.
Wang Y; Coiera E; Magrabi F
J Am Med Inform Assoc; 2019 Dec; 26(12):1600-1608. PubMed ID: 31730700
[TBL] [Abstract][Full Text] [Related]
3. Automating the Identification of Patient Safety Incident Reports Using Multi-Label Classification.
Wang Y; Coiera E; Runciman W; Magrabi F
Stud Health Technol Inform; 2017; 245():609-613. PubMed ID: 29295168
[TBL] [Abstract][Full Text] [Related]
4. Can Unified Medical Language System-based semantic representation improve automated identification of patient safety incident reports by type and severity?
Wang Y; Coiera E; Magrabi F
J Am Med Inform Assoc; 2020 Oct; 27(10):1502-1509. PubMed ID: 32574362
[TBL] [Abstract][Full Text] [Related]
5. Automated identification of extreme-risk events in clinical incident reports.
Ong MS; Magrabi F; Coiera E
J Am Med Inform Assoc; 2012 Jun; 19(e1):e110-8. PubMed ID: 22237865
[TBL] [Abstract][Full Text] [Related]
6. Using statistical text classification to identify health information technology incidents.
Chai KE; Anthony S; Coiera E; Magrabi F
J Am Med Inform Assoc; 2013; 20(5):980-5. PubMed ID: 23666777
[TBL] [Abstract][Full Text] [Related]
7. Automated validation of patient safety clinical incident classification: macro analysis.
Gupta J; Patrick J
Stud Health Technol Inform; 2013; 188():52-7. PubMed ID: 23823288
[TBL] [Abstract][Full Text] [Related]
8. A Machine Learning Approach with Human-AI Collaboration for Automated Classification of Patient Safety Event Reports: Algorithm Development and Validation Study.
Chen H; Cohen E; Wilson D; Alfred M
JMIR Hum Factors; 2024 Jan; 11():e53378. PubMed ID: 38271086
[TBL] [Abstract][Full Text] [Related]
9. Can Patient Safety Incident Reports Be Used to Compare Hospital Safety? Results from a Quantitative Analysis of the English National Reporting and Learning System Data.
Howell AM; Burns EM; Bouras G; Donaldson LJ; Athanasiou T; Darzi A
PLoS One; 2015; 10(12):e0144107. PubMed ID: 26650823
[TBL] [Abstract][Full Text] [Related]
10. Identifying health information technology related safety event reports from patient safety event report databases.
Fong A; Adams KT; Gaunt MJ; Howe JL; Kellogg KM; Ratwani RM
J Biomed Inform; 2018 Oct; 86():135-142. PubMed ID: 30213556
[TBL] [Abstract][Full Text] [Related]
11. Construction accident narrative classification: An evaluation of text mining techniques.
Goh YM; Ubeynarayana CU
Accid Anal Prev; 2017 Nov; 108():122-130. PubMed ID: 28865927
[TBL] [Abstract][Full Text] [Related]
12. Text mining for the Vaccine Adverse Event Reporting System: medical text classification using informative feature selection.
Botsis T; Nguyen MD; Woo EJ; Markatou M; Ball R
J Am Med Inform Assoc; 2011; 18(5):631-8. PubMed ID: 21709163
[TBL] [Abstract][Full Text] [Related]
13. Patient safety incident reports related to traditional Japanese Kampo medicines: medication errors and adverse drug events in a university hospital for a ten-year period.
Shimada Y; Fujimoto M; Nogami T; Watari H; Kitahara H; Misawa H; Kimbara Y
BMC Complement Altern Med; 2017 Dec; 17(1):547. PubMed ID: 29268743
[TBL] [Abstract][Full Text] [Related]
14. Exploration and Initial Development of Text Classification Models to Identify Health Information Technology Usability-Related Patient Safety Event Reports.
Fong A; Komolafe T; Adams KT; Cohen A; Howe JL; Ratwani RM
Appl Clin Inform; 2019 May; 10(3):521-527. PubMed ID: 31315139
[TBL] [Abstract][Full Text] [Related]
15. Medication-rights detection using incident reports: A natural language processing and deep neural network approach.
Wong ZS; So HY; Kwok BS; Lai MW; Sun DT
Health Informatics J; 2020 Sep; 26(3):1777-1794. PubMed ID: 31820664
[TBL] [Abstract][Full Text] [Related]
16. Automated Classification of Selected Data Elements from Free-text Diagnostic Reports for Clinical Research.
Löpprich M; Krauss F; Ganzinger M; Senghas K; Riezler S; Knaup P
Methods Inf Med; 2016 Aug; 55(4):373-80. PubMed ID: 27406024
[TBL] [Abstract][Full Text] [Related]
17. An automated pipeline for analyzing medication event reports in clinical settings.
Zhou S; Kang H; Yao B; Gong Y
BMC Med Inform Decis Mak; 2018 Dec; 18(Suppl 5):113. PubMed ID: 30526590
[TBL] [Abstract][Full Text] [Related]
18. Falls in English and Welsh hospitals: a national observational study based on retrospective analysis of 12 months of patient safety incident reports.
Healey F; Scobie S; Oliver D; Pryce A; Thomson R; Glampson B
Qual Saf Health Care; 2008 Dec; 17(6):424-30. PubMed ID: 19064657
[TBL] [Abstract][Full Text] [Related]
19. Automated classification of primary care patient safety incident report content and severity using supervised machine learning (ML) approaches.
Evans HP; Anastasiou A; Edwards A; Hibbert P; Makeham M; Luz S; Sheikh A; Donaldson L; Carson-Stevens A
Health Informatics J; 2020 Dec; 26(4):3123-3139. PubMed ID: 30843455
[TBL] [Abstract][Full Text] [Related]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]
