135 related articles for article (PubMed ID: 34852413)
1. Realizing the Power of Text Mining and Natural Language Processing for Analyzing Patient Safety Event Narratives: The Challenges and Path Forward.
Fong A
J Patient Saf; 2021 Dec; 17(8):e834-e836. PubMed ID: 34852413
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. A natural language processing approach to categorise contributing factors from patient safety event reports.
Tabaie A; Sengupta S; Pruitt ZM; Fong A
BMJ Health Care Inform; 2023 May; 30(1):. PubMed ID: 37257922
[TBL] [Abstract][Full Text] [Related]
4. Natural language processing of symptoms documented in free-text narratives of electronic health records: a systematic review.
Koleck TA; Dreisbach C; Bourne PE; Bakken S
J Am Med Inform Assoc; 2019 Apr; 26(4):364-379. PubMed ID: 30726935
[TBL] [Abstract][Full Text] [Related]
5. Natural language processing with deep learning for medical adverse event detection from free-text medical narratives: A case study of detecting total hip replacement dislocation.
Borjali A; Magnéli M; Shin D; Malchau H; Muratoglu OK; Varadarajan KM
Comput Biol Med; 2021 Feb; 129():104140. PubMed ID: 33278631
[TBL] [Abstract][Full Text] [Related]
6. Predicting occupational injury causal factors using text-based analytics: A systematic review.
Khairuddin MZF; Hasikin K; Abd Razak NA; Lai KW; Osman MZ; Aslan MF; Sabanci K; Azizan MM; Satapathy SC; Wu X
Front Public Health; 2022; 10():984099. PubMed ID: 36187621
[TBL] [Abstract][Full Text] [Related]
7. Development and evaluation of task-specific NLP framework in China.
Ge C; Zhang Y; Huang Z; Jia Z; Ju M; Duan H; Li H
Stud Health Technol Inform; 2015; 216():1031. PubMed ID: 26262331
[TBL] [Abstract][Full Text] [Related]
8. Integrating natural language processing expertise with patient safety event review committees to improve the analysis of medication events.
Fong A; Harriott N; Walters DM; Foley H; Morrissey R; Ratwani RR
Int J Med Inform; 2017 Aug; 104():120-125. PubMed ID: 28529113
[TBL] [Abstract][Full Text] [Related]
9. Improving Patient Safety Event Report Classification with Machine Learning and Contextual Text Representation.
Chen H; Cohen E; Wilson D; Alfted M
Proc Hum Factors Ergon Soc Annu Meet; 2023 Sep; 67(1):1063-1069. PubMed ID: 38213998
[TBL] [Abstract][Full Text] [Related]
10. A Complete Process of Text Classification System Using State-of-the-Art NLP Models.
Dogra V; Verma S; Kavita ; Chatterjee P; Shafi J; Choi J; Ijaz MF
Comput Intell Neurosci; 2022; 2022():1883698. PubMed ID: 35720939
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Mining fall-related information in clinical notes: Comparison of rule-based and novel word embedding-based machine learning approaches.
Topaz M; Murga L; Gaddis KM; McDonald MV; Bar-Bachar O; Goldberg Y; Bowles KH
J Biomed Inform; 2019 Feb; 90():103103. PubMed ID: 30639392
[TBL] [Abstract][Full Text] [Related]
13. Practical Guide to Natural Language Processing for Radiology.
Mozayan A; Fabbri AR; Maneevese M; Tocino I; Chheang S
Radiographics; 2021; 41(5):1446-1453. PubMed ID: 34469212
[TBL] [Abstract][Full Text] [Related]
14. Natural Language Processing in Dutch Free Text Radiology Reports: Challenges in a Small Language Area Staging Pulmonary Oncology.
Nobel JM; Puts S; Bakers FCH; Robben SGF; Dekker ALAJ
J Digit Imaging; 2020 Aug; 33(4):1002-1008. PubMed ID: 32076924
[TBL] [Abstract][Full Text] [Related]
15. Natural Language Processing and Its Implications for the Future of Medication Safety: A Narrative Review of Recent Advances and Challenges.
Wong A; Plasek JM; Montecalvo SP; Zhou L
Pharmacotherapy; 2018 Aug; 38(8):822-841. PubMed ID: 29884988
[TBL] [Abstract][Full Text] [Related]
16. Automated Assessment of Patients' Self-Narratives for Posttraumatic Stress Disorder Screening Using Natural Language Processing and Text Mining.
He Q; Veldkamp BP; Glas CA; de Vries T
Assessment; 2017 Mar; 24(2):157-172. PubMed ID: 26358713
[TBL] [Abstract][Full Text] [Related]
17. Text Mining and Machine Learning Protocol for Extracting Human-Related Protein Phosphorylation Information from PubMed.
Arumugam K; Shanker RR
Methods Mol Biol; 2022; 2496():159-177. PubMed ID: 35713864
[TBL] [Abstract][Full Text] [Related]
18. A systematic review of natural language processing for classification tasks in the field of incident reporting and adverse event analysis.
Young IJB; Luz S; Lone N
Int J Med Inform; 2019 Dec; 132():103971. PubMed ID: 31630063
[TBL] [Abstract][Full Text] [Related]
19. Past and future uses of text mining in ecology and evolution.
Farrell MJ; Brierley L; Willoughby A; Yates A; Mideo N
Proc Biol Sci; 2022 May; 289(1975):20212721. PubMed ID: 35582795
[TBL] [Abstract][Full Text] [Related]
20. Evaluating Patients' Experiences with Healthcare Services: Extracting Domain and Language-Specific Information from Free-Text Narratives.
Jacennik B; Zawadzka-Gosk E; Moreira JP; Glinkowski WM
Int J Environ Res Public Health; 2022 Aug; 19(16):. PubMed ID: 36011816
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
