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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.

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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.
Authors: Khan, Muhammad Anees1 (AUTHOR), Ahmad, Sadique2,3 (AUTHOR), El-Affendi, Mohammed A.2 (AUTHOR), Zaka, Rija1 (AUTHOR), Mahmood, Saima4 (AUTHOR), Jehangir, Muhammad5 (AUTHOR)
Source: BioMed Research International. 9/17/2022, p1-9. 9p.
Database: Academic Search Ultimate
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  Data: 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.
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  Data: <searchLink fieldCode="JN" term="%22BioMed+Research+International%22">BioMed Research International</searchLink>. 9/17/2022, p1-9. 9p.
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      – Type: doi
        Value: 10.1155/2022/5775640
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        Text: English
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      – TitleFull: 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.
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            – D: 17
              M: 09
              Text: 9/17/2022
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              Y: 2022
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