Research Article
Volume 4 Issue 6 - 2020
Mental Anxiety of Employees due to Lockdown in Recent Situations
Shawni Dutta1 and Samir Kumar Bandyopadhyay2*
1Lecturer, Department of Computer Science, The Bhawanipur Education Society College, Kolkata, India
2Academic Advisor, The Bhawanipur Education Society College, Kolkata, India
*Corresponding Author: Samir Kumar Bandyopadhyay, Academic Advisor, The Bhawanipur Education Society College, Kolkata, India.
Received: May 23, 2020; Published: June 08, 2020




Abstract

Any company or organization is strongly dependent on employees work dedication. Dedication to work may be hampered if they loss mental peace while working. Work anxiety caused by stress in workplace and it causes poor outcomes both for employees and organizations. This situation needs attention by the organization to improve the working condition as well throughput of employees work. Discussion related to mental illness may create suspicious situation among the co-workers against the patient in the workplace. This paper attempts to predict consequences in the workplace observed due to mental anxiety. For this purpose, neural network classifier followed by 10-fold cross validation is proposed as an automated tool that recommends about the concerns perceived in the workplace. This proposed method is evaluated as well as compared with six classifiers such as Support Vector Machine, k-Nearest Neighbor, naïve bayes, Decision Tree, Adaboost and Gradient Boost classifiers. Experimental analysis concludes that proposed method outperforms well over aforementioned classifiers in terms of performance measure metrics.

Keywords: Employee Mental Health, Negative Consequences; Co-Workers; Organization; Neural Network; k-fold Cross-Validation

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Citation: Shawni Dutta and Samir Kumar Bandyopadhyay. “Mental Anxiety of Employees due to Lockdown in Recent Situations”. EC Emergency Medicine and Critical Care 4.7 (2020): 24-30.

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