Predicting mental illness at workplace using machine learning
Mental illness (MI) is a leading cause of workplace absenteeism that often goes unrecognized and untreated. This paper presents a machine learning algorithm for predicting MI at workplace. The dataset consisted of responses from 1259 subjects collected through an online survey using a self-assessed...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Mehran University of Engineering and Technology
2022-12-01
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| Series: | Mehran University Research Journal of Engineering and Technology |
| Online Access: | https://publications.muet.edu.pk/index.php/muetrj/article/view/2303 |
| _version_ | 1797974170910326784 |
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| author | Taha Khan Mark Dougherty |
| author_facet | Taha Khan Mark Dougherty |
| author_sort | Taha Khan |
| collection | DOAJ |
| description | Mental illness (MI) is a leading cause of workplace absenteeism that often goes unrecognized and untreated. This paper presents a machine learning algorithm for predicting MI at workplace. The dataset consisted of responses from 1259 subjects collected through an online survey using a self-assessed questionnaire on the workplace environment. The responses were used as features for training a support vector machine to predict MI. Statistical analysis using the Guttmann correlation and the analysis of variance was done to determine feature significance. Results using 10-fold cross-validation showed that the model predicted MI with good accuracy. Findings support the feasibility of this approach for MI monitoring at the workplace as it offers an advantage over other technologies e.g., MRI scans, and EEG analysis, previously developed for the objective assessment of MI. |
| first_indexed | 2024-04-11T04:15:50Z |
| format | Article |
| id | doaj.art-182b6f0548934ee5898e0f792c111b64 |
| institution | Directory Open Access Journal |
| issn | 0254-7821 2413-7219 |
| language | English |
| last_indexed | 2024-04-11T04:15:50Z |
| publishDate | 2022-12-01 |
| publisher | Mehran University of Engineering and Technology |
| record_format | Article |
| series | Mehran University Research Journal of Engineering and Technology |
| spelling | doaj.art-182b6f0548934ee5898e0f792c111b642022-12-31T13:04:48ZengMehran University of Engineering and TechnologyMehran University Research Journal of Engineering and Technology0254-78212413-72192022-12-014219510810.22581/muet1982.2301.102303Predicting mental illness at workplace using machine learningTaha Khan0Mark Dougherty1Center for Applied Intelligent Systems Research, School of Information Technology and Engineering, Halmstad University, Halmstad, SwedenCentre for Research on Embedded Systems, School of Information Technology and Engineering Halmstad University, Halmstad, SwedenMental illness (MI) is a leading cause of workplace absenteeism that often goes unrecognized and untreated. This paper presents a machine learning algorithm for predicting MI at workplace. The dataset consisted of responses from 1259 subjects collected through an online survey using a self-assessed questionnaire on the workplace environment. The responses were used as features for training a support vector machine to predict MI. Statistical analysis using the Guttmann correlation and the analysis of variance was done to determine feature significance. Results using 10-fold cross-validation showed that the model predicted MI with good accuracy. Findings support the feasibility of this approach for MI monitoring at the workplace as it offers an advantage over other technologies e.g., MRI scans, and EEG analysis, previously developed for the objective assessment of MI.https://publications.muet.edu.pk/index.php/muetrj/article/view/2303 |
| spellingShingle | Taha Khan Mark Dougherty Predicting mental illness at workplace using machine learning Mehran University Research Journal of Engineering and Technology |
| title | Predicting mental illness at workplace using machine learning |
| title_full | Predicting mental illness at workplace using machine learning |
| title_fullStr | Predicting mental illness at workplace using machine learning |
| title_full_unstemmed | Predicting mental illness at workplace using machine learning |
| title_short | Predicting mental illness at workplace using machine learning |
| title_sort | predicting mental illness at workplace using machine learning |
| url | https://publications.muet.edu.pk/index.php/muetrj/article/view/2303 |
| work_keys_str_mv | AT tahakhan predictingmentalillnessatworkplaceusingmachinelearning AT markdougherty predictingmentalillnessatworkplaceusingmachinelearning |