345 related articles for article (PubMed ID: 26728004)
1. Harnessing information from injury narratives in the 'big data' era: understanding and applying machine learning for injury surveillance.
Vallmuur K; Marucci-Wellman HR; Taylor JA; Lehto M; Corns HL; Smith GS
Inj Prev; 2016 Apr; 22 Suppl 1(Suppl 1):i34-42. PubMed ID: 26728004
[TBL] [Abstract][Full Text] [Related]
2. Classifying injury narratives of large administrative databases for surveillance-A practical approach combining machine learning ensembles and human review.
Marucci-Wellman HR; Corns HL; Lehto MR
Accid Anal Prev; 2017 Jan; 98():359-371. PubMed ID: 27863339
[TBL] [Abstract][Full Text] [Related]
3. Machine learning approaches to analysing textual injury surveillance data: a systematic review.
Vallmuur K
Accid Anal Prev; 2015 Jun; 79():41-9. PubMed ID: 25795924
[TBL] [Abstract][Full Text] [Related]
4. A combined Fuzzy and Naive Bayesian strategy can be used to assign event codes to injury narratives.
Marucci-Wellman H; Lehto M; Corns H
Inj Prev; 2011 Dec; 17(6):407-14. PubMed ID: 21482563
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Near-miss narratives from the fire service: a Bayesian analysis.
Taylor JA; Lacovara AV; Smith GS; Pandian R; Lehto M
Accid Anal Prev; 2014 Jan; 62():119-29. PubMed ID: 24144497
[TBL] [Abstract][Full Text] [Related]
7. A practical tool for public health surveillance: Semi-automated coding of short injury narratives from large administrative databases using Naïve Bayes algorithms.
Marucci-Wellman HR; Lehto MR; Corns HL
Accid Anal Prev; 2015 Nov; 84():165-76. PubMed ID: 26412196
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Bayesian decision support for coding occupational injury data.
Nanda G; Grattan KM; Chu MT; Davis LK; Lehto MR
J Safety Res; 2016 Jun; 57():71-82. PubMed ID: 27178082
[TBL] [Abstract][Full Text] [Related]
10. Injury narrative text classification using factorization model.
Chen L; Vallmuur K; Nayak R
BMC Med Inform Decis Mak; 2015; 15 Suppl 1(Suppl 1):S5. PubMed ID: 26043671
[TBL] [Abstract][Full Text] [Related]
11. Pediatric Injury Surveillance From Uncoded Emergency Department Admission Records in Italy: Machine Learning-Based Text-Mining Approach.
Azzolina D; Bressan S; Lorenzoni G; Baldan GA; Bartolotta P; Scognamiglio F; Francavilla A; Lanera C; Da Dalt L; Gregori D
JMIR Public Health Surveill; 2023 Jul; 9():e44467. PubMed ID: 37436799
[TBL] [Abstract][Full Text] [Related]
12. The use of narrative text for injury surveillance research: a systematic review.
McKenzie K; Scott DA; Campbell MA; McClure RJ
Accid Anal Prev; 2010 Mar; 42(2):354-63. PubMed ID: 20159054
[TBL] [Abstract][Full Text] [Related]
13. A systematic review of data mining and machine learning for air pollution epidemiology.
Bellinger C; Mohomed Jabbar MS; Zaïane O; Osornio-Vargas A
BMC Public Health; 2017 Nov; 17(1):907. PubMed ID: 29179711
[TBL] [Abstract][Full Text] [Related]
14. Big-Data Analysis, Cluster Analysis, and Machine-Learning Approaches.
Alonso-Betanzos A; Bolón-Canedo V
Adv Exp Med Biol; 2018; 1065():607-626. PubMed ID: 30051410
[TBL] [Abstract][Full Text] [Related]
15. Comparison of methods for auto-coding causation of injury narratives.
Bertke SJ; Meyers AR; Wurzelbacher SJ; Measure A; Lampl MP; Robins D
Accid Anal Prev; 2016 Mar; 88():117-23. PubMed ID: 26745274
[TBL] [Abstract][Full Text] [Related]
16. Bayesian methods: a useful tool for classifying injury narratives into cause groups.
Lehto M; Marucci-Wellman H; Corns H
Inj Prev; 2009 Aug; 15(4):259-65. PubMed ID: 19652000
[TBL] [Abstract][Full Text] [Related]
17. Big Data and machine learning in radiation oncology: State of the art and future prospects.
Bibault JE; Giraud P; Burgun A
Cancer Lett; 2016 Nov; 382(1):110-117. PubMed ID: 27241666
[TBL] [Abstract][Full Text] [Related]
18. Using multiple coding schemes for classification and coding of agricultural injury.
Murphy D; Gorucu S; Weichelt B; Scott E; Purschwitz M
Am J Ind Med; 2019 Feb; 62(2):87-98. PubMed ID: 30561026
[TBL] [Abstract][Full Text] [Related]
19. Revisit of Machine Learning Supported Biological and Biomedical Studies.
Yu XT; Wang L; Zeng T
Methods Mol Biol; 2018; 1754():183-204. PubMed ID: 29536444
[TBL] [Abstract][Full Text] [Related]
20. A health analytics semantic ETL service for obesity surveillance.
Poulymenopoulou M; Papakonstantinou D; Malamateniou F; Vassilacopoulos G
Stud Health Technol Inform; 2015; 210():840-4. PubMed ID: 25991273
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]