Predicting Mental Health of Best Human Capital for Sustainable Organization through Psychological and Personality Health Issues: Shift from Traditional to Novel Machine Learning-Supervised Technique Approach.
- DOI
- 10.1155/2022/5775640
- Published
- 2022
- Container
- BioMed research international
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1155/2022/5775640,
title = {Predicting Mental Health of Best Human Capital for Sustainable Organization through Psychological and Personality Health Issues: Shift from Traditional to Novel Machine Learning-Supervised Technique Approach.},
author = {Khan MA and Ahmad S and El-Affendi MA and Zaka R and Mahmood S and Jehangir M},
year = {2022},
journal = {BioMed research international},
doi = {10.1155/2022/5775640},
url = {https://doi.org/10.1155/2022/5775640}
}RIS
TY - JOUR TI - Predicting Mental Health of Best Human Capital for Sustainable Organization through Psychological and Personality Health Issues: Shift from Traditional to Novel Machine Learning-Supervised Technique Approach. AU - Khan MA AU - Ahmad S AU - El-Affendi MA AU - Zaka R AU - Mahmood S AU - Jehangir M PY - 2022 JO - BioMed research international DO - 10.1155/2022/5775640 UR - https://doi.org/10.1155/2022/5775640 ER -
APA
MA, K., S, A., MA, E., R, Z., S, M., & M, J. (2022). Predicting Mental Health of Best Human Capital for Sustainable Organization through Psychological and Personality Health Issues: Shift from Traditional to Novel Machine Learning-Supervised Technique Approach.. BioMed research international. https://doi.org/10.1155/2022/5775640
Source records
- pubmed · retrieved 2026-09-24T22:58:56.698Z