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Predicting Workplace Injuries Using Machine Learning Algorithms
- Source :
- DSAA
- Publication Year :
- 2020
- Publisher :
- IEEE, 2020.
-
Abstract
- Predicting workplace injury using automated techniques opens newer possibilities in evidence-based research. This paper presents our preliminary research in a PhD project in predicting workplace incidents using machine learning algorithms. The analysis on the model performance using several mainstream machine learning algorithms including random forest, k-nearest neighbor and decision tree indicated that the general performance of the decision tree model was found to be statistically higher than that of the other two algorithms.
- Subjects :
- Computer science
business.industry
0211 other engineering and technologies
Decision tree
02 engineering and technology
Machine learning
computer.software_genre
Random forest
03 medical and health sciences
0302 clinical medicine
021105 building & construction
Workplace injury
030212 general & internal medicine
Artificial intelligence
business
computer
Algorithm
Decision tree model
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA)
- Accession number :
- edsair.doi...........6946679d9b56c8fdecc025cd8dab59f3