Analysis of the Impact of Selected Physical Environmental Factors on the Health of Employees: Creating a Classification Model Using a Decision Tree

Miriam Andrejiová, Miriama Piňosová, Ružena Králiková, Bystrík Dolník, Pavol Liptai and Erika Dolníková
Additional contact information
Miriam Andrejiová: Department of Applied Mathematics and Informatics, Technical University of Košice, 040 01 Košice, Slovakia
Miriama Piňosová: Department of Process and Environmental Engineering, Technical University of Košice, 040 01 Košice, Slovakia
Ružena Králiková: Department of Process and Environmental Engineering, Technical University of Košice, 040 01 Košice, Slovakia
Bystrík Dolník: Department of Electric Power Engineering, Technical University of Košice, 040 01 Košice, Slovakia
Pavol Liptai: Institute of Recycling Technologies, Technical University of Košice, 040 01 Košice, Slovakia
Erika Dolníková: Department of Building Construction, Technical University of Košice, 040 01 Košice, Slovakia

IJERPH, 2019, vol. 16, issue 24, 1-16

Abstract: During the process of designing and implementing a working environment, there is a need to guarantee adequate conditions for future workers’ health and well-being. This article addresses the classification of employees characterized by several basic input variables (gender, age, class of work). The investigated variable was the health of employees. This article aims to create a prediction classification model using the classification tree, which can be used to classify new cases into appropriate classes as accurately as possible. Objective measurements of microclimatic parameters were performed by the Testo 435 instrument. The subjective evaluation was performed by a questionnaire survey formed from the training group of 80 respondents and independently verified by the test group of 80 more respondents. The result confusion matrix shows that the number of correctly classified respondents was 69 from a total of 80 respondents. The overall accuracy was A C = 0.863 , which means that the likelihood that respondents are properly classified in the correct health class is 86.3%. Based on the model obtained using the classification tree, we can classify respondents into the relevant class for their state of health. The respondent is classified into the class of work for which particular health and working conditions are most likely.

Keywords: physical environmental factors; occupational health; decision tree model; questionnaire survey; microclimate (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1660-4601/16/24/5080/pdf (application/pdf)
https://www.mdpi.com/1660-4601/16/24/5080/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:16:y:2019:i:24:p:5080-:d:297298

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().