Incorporating a Machine Learning Model into a Web-Based Administrative Decision Support Tool for Predicting Workplace Absenteeism

Incorporating a Machine Learning Model into a Web-Based Administrative Decision Support Tool for Predicting Workplace Absenteeism

Productivity losses caused by absenteeism at work cost U.S. employers billions of dollars each year. In addition, employers typically spend a considerable amount of time managing employees who perform poorly. By using predictive analytics and machine learning algorithms, organizations can make bette...

Full description

Bibliographic Details
Main Authors: Coursey, A. (Author), Nath, G. (Author), Prabhu, S. (Author), Saha, K.K (Author), Sengupta, S. (Author), Wang, Y. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
absenteeism
Absenteeism
artificial neural networks
Classification (of information)
Decision support systems
Decision supports
Decision trees
Learning systems
Losses
Machine learning algorithms
Machine learning models
Machine-learning
Managers
Multi-class classification
multi-class classifications
multinomial logistic regression
Multinomial logistic regression
Neural networks
Predictive analytics
Productivity
random forests
Random forests
support vector machines
Support vector machines
Support vectors machine
Web based
Websites
Online Access:View Fulltext in Publisher

Internet

View Fulltext in Publisher

Similar Items