Machine learning approaches to analysing textual injury surveillance data: A systematic review-Reference-Cited by-同舟云学术

Machine learning approaches to analysing textual injury surveillance data: A systematic review

Published:2015-06 Issue: Volume:79 Page:41-49
ISSN:0001-4575
Container-title:Accident Analysis & Prevention
language:en
Short-container-title:Accident Analysis & Prevention

Author:

Vallmuur Kirsten^ORCID

Publisher

Elsevier BV

Subject

Public Health, Environmental and Occupational Health,Safety, Risk, Reliability and Quality,Human Factors and Ergonomics

Reference25 articles.

1. Extracting recurrent scenarios from narrative texts using a Bayesian network: application to serious occupational accidents with movement disturbance;Abdat;Accid. Anal. Prev.,2014

2. Strategies to improve external cause-of-injury coding in state-based hospital discharge and emergency department data systems: recommendations of the cdc workgroup for improvement of external cause-of-injury coding;Annest;MMWR,2008

3. Adaptive Bayesian networks for quantitative risk assessment of foreign body injuries in children;Berchialla;J. Risk Res.,2010

4. Understanding the epidemiology of foreign body injuries in children using a data-driven Bayesian network;Berchialla;J. Appl. Stat.,2012

5. Development and evaluation of a Naïve Bayesian model for coding causation of workers’ compensation claims;Bertke;J. Saf. Res.,2012

Cited by 50 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Electronic Health Records for Predicting Outcomes to Work-Related Musculoskeletal Disorders: A Scoping Review;Journal of Occupational Rehabilitation;2024-03-27

2. Machine Learning at Work? The Issue of Data Quality When Developing New Insight in Occupational Accidents;Computing in Civil Engineering 2023;2024-01-25

3. Data-Driven Approaches for Accident Analysis in Sociochemical Systems;Studies in Systems, Decision and Control;2024

4. Current and Evolving Applications to IoT and Applications to Smart Buildings and Energy Management;AI Applications to Communications and Information Technologies;2023-11-10

5. Using motor vehicle crash records for injury surveillance and research in agriculture and forestry;Journal of Safety Research;2023-09