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Predictive Tool to Overcome Negative Thinking of Employees with Anxiety

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dc.contributor.author Ananda, Kalana Gayantha
dc.contributor.author Ratnayake, Gayashini Shyanka
dc.date.accessioned 2025-04-13T01:42:31Z
dc.date.available 2025-04-13T01:42:31Z
dc.date.issued 2022
dc.identifier.citation Ananda, K.G. and Shyanka Ratnayake, G. (2022) ‘Predictive Tool to Overcome Negative Thinking of Employees with Anxiety’, in 2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET). 2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET), pp. 381–386. Available at: https://doi.org/10.1109/IC_ASET53395.2022.9765882. en_US
dc.identifier.uri https://ieeexplore.ieee.org/document/9765882
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/2247
dc.description.abstract Among significant portion of the population, anxiety disorder can be considered as the most prominent psychological condition. Anxiety may limit many people's activities and make it difficult for them to enjoy their lives. An increase in negative thoughts would raise people's fear and worry, which potentially leading to anxiety disorder. The number of remote workers has risen as a result of the pandemic situation. A considerable number of employees are faced with anxious thoughts because of the workplace isolation. This was proved by a pilot study done among 102 employees in Sri Lanka. The proposed solution is a mobile application that employees can use to diagnose the anxiety level using machine learning and support to overcome their negative thinking behavior, through cognitive behavioral therapy exercises by allowing them to do self-improvement activities. The visually represented dashboard can monitor the positive thinking improvement of the user. en_US
dc.publisher IEEE en_US
dc.subject Anxiety disorders en_US
dc.subject Levels Of Anxiety en_US
dc.subject Depression en_US
dc.title Predictive Tool to Overcome Negative Thinking of Employees with Anxiety en_US
dc.type Article en_US


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