Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Automatically learning construction injury precursors from text

8 references·8 citing·41 second hop

FromToDepth

this work references cited by second hop

References

2016The age of analytics: competing in a data-driven world416 cited
2018Construction site accident analysis using text mining and natural language processing techniques411 cited
2016Application of machine learning to construction injury prediction376 cited
2015Automated content analysis for construction safety: A natural language processing system to extract precursors and outcomes from unstructured injury reports374 cited
2002Can We Ever Escape from Data Overload? A Cognitive Systems Diagnosis241 cited
2019Accident Case Retrieval and Analyses: Using Natural Language Processing in the Construction Industry171 cited
2014Predicting construction cost overruns using text mining, numerical data and ensemble classifiers164 cited
2007Incident reporting or storytelling? Competing schemes in a safety-critical and hazardous work setting121 cited

Cited by

2022Deep learning-based data analytics for safety in construction156 cited
2024AI integration in construction safety: Current state, challenges, and future opportunities in text, vision, and audio based applications122 cited
2021A critical review of text-based research in construction: Data source, analysis method, and implications93 cited
2022Identification of accident-injury type and bodypart factors from construction accident reports: A graph-based deep learning framework80 cited
2023Construction and application of knowledge graph for construction accidents based on deep learning

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

69 cited

2023Machine learning-based construction site dynamic risk models68 cited

2022Prediction of construction accident outcomes based on an imbalanced dataset through integrated resampling techniques and machine learning methods62 cited

2022Overview and analysis of the text mining applications in the construction industry51 cited