Published June 26, 2018
| Version v1
Dataset
Open
Psychosocial Risk Level Teachers School Repository 2016-2017
Contributors
- 1. Ph.D National University of Colombia
- 2. Researcher National University of Colombia
- 3. Reasearcher Private University of Colombia
Description
The database was created with 5344 records of psychosocial risk level colombian teachers school using physiological variables from May 2016 to December 2017 in five municipalities of a metropolitan area of city in Colombia. The application of physiological variables was made to the people who voluntarily participated in the study. The names and personal data were kept by the researcher.
Notes
Files
Psychosocial Risk Assessment Level Colombian Teachers School HR, EDA, EMG.csv
Additional details
References
- Mosquera, R., Parra-Osorio, L., & Castrillón, O. D. (2018). Support Vector Machines, Naïve Bayes Classifier and Genetic Algorithms for the Prediction of Psychosocial Risks in Teachers of Colombian Public Schools. Inf. tecnol. vol.29, n.6, pp.153-162. http://dx.doi.org/10.4067/S0718-07642018000600153.
- Mosquera, R., Parra-Osorio, L., & Castrillón, O. D. (2018). Prediction of Psychosocial Risks in Colombian Teachers of Public Schools using Machine Learning Techniques. Inf. tecnol. vol.29, n.4, pp.267-280. http://dx.doi.org/10.4067/S0718-07642018000400267.
- Mosquera, R., Parra-Osorio, L., & Castrillón, O. D. (2016). Methodology for Predicting the Psychosocial Risk Level on Colombian Teachers using Data Mining Techniques. Inf. tecnol. vol.27, n.6, pp.259-272. http://dx.doi.org/10.4067/S0718-07642016000600026.
- Mosquera Navarro, R., Castrillón, O. D. G., Osorio, L. P., & García, A. C. (2018). Classification system for the predicting of psychosocial risk level in public-school teachers based on Artificial Intelligence. XVIII Conferencia de La Asociación Española Para La Inteligencia Artificial (CAEPIA), 1367-1372.
- Mosquera, R, Castrillón Gómez, O. D., & Parra-Osorio, L. (2019a). A new method based on Physical Surface Tension-Neural Net for the Prediction of Psychosocial-risk Level in Public School Teachers. (Versión 1) [Matlab]. Recuperado de https://doi.org/10.24433/CO.4268666.v1
- Mosquera, R, Castrillón Gómez, O. D., & Parra-Osorio, L. (2019b). Aplicación del modelo hibrido k-nearest neighbors-Support Vector Machine para la predicción del riesgo psicosocial en docentes de colegios públicos colombianos. Presentado en 17th LACCEI International Multi-Conference for Engineering, Education, and Technology: "Industry, Innovation, And Infrastructure for Sustainable Cities and Communities", Jamaica. Recuperado de http://www.laccei.org/index.php/publications/laccei-proceedings