Home ›
Entities
› academia
› Integrating feature engineering, genetic algorithm and tree-based machine learning methods to predict the post-accident disability status of construction workers
Integrating feature engineering, genetic algorithm and tree-based machine learning methods to predict the post-accident disability status of construction workers
Research article (Automation in Construction, 2021) · cited 92× · AI/ML
Integrating feature engineering, genetic algorithm and tree-based machine learning methods to predict the post-accident disability status of construction workers
Summary
Integrating feature engineering, genetic algorithm and tree-based machine learning methods to predict the post-accident disability status of construction workers is a scholarly article[1].
Key Facts
Integrating feature engineering, genetic algorithm and tree-based machine learning methods to predict the post-accident disability status of construction workers's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Integrating feature engineering, genetic algorithm and tree-based machine learning methods to predict the post-accident disability status of construction workers. Retrieved May 24, 2026, from https://4ort.xyz/entity/integrating-feature-engineering-genetic-algorithm-and-tree-based-machine-learning-methods-to-predict-the-post-accident-d
MLA“Integrating feature engineering, genetic algorithm and tree-based machine learning methods to predict the post-accident disability status of construction workers.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/integrating-feature-engineering-genetic-algorithm-and-tree-based-machine-learning-methods-to-predict-the-post-accident-d.
BibTeX@misc{4ortxyz_integrating-feature-engineering-genetic-algorithm-and-tree-based-machine-learning-methods-to-predict-the-post-accident-d_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Integrating feature engineering, genetic algorithm and tree-based machine learning methods to predict the post-accident disability status of construction workers}}, year = {2026}, url = {https://4ort.xyz/entity/integrating-feature-engineering-genetic-algorithm-and-tree-based-machine-learning-methods-to-predict-the-post-accident-d}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Integrating feature engineering, genetic algorithm and tree-based machine learning methods to predict the post-accident disability status of construction workers — https://4ort.xyz/entity/integrating-feature-engineering-genetic-algorithm-and-tree-based-machine-learning-methods-to-predict-the-post-accident-d (retrieved 2026-05-24)