Journal of Management Information and Decision Sciences (Print ISSN: 1524-7252; Online ISSN: 1532-5806)


Technostress Management through Data Mining

Author(s): Mohamed Salah-Eddine, Mustapha Belaissaoui, Alae El Alami, Karima Salah-Eddine

No one can deny that the arrival of the new computer era has brought with it many benefits and facilities to the human being, to such a point that if we want to justify it, we can give an endless list of examples, but like with many other things in life, there is also a dark side of computers. Employees and users who are confronted to an excessive use of Information and Communication Technologies (ICTs) of Information Systems (IS) in many aspects of their current life, are more prone to Technostress; a new type of stress that we will detect and assess through the use of Data Mining and we will classify patients by using some learning algorithms depending on to their type of stress, the data that we will use is resulting from a Technostress Survey that had already been performed, The use of artificial intelligence in the monitoring of mental health is a new approach in this field which we hope will be of help to both physicians and patients in the near future, making it easier for organizations to use the same diagnostic method but this time by making it computer-assisted, and making detection easier without the need for the physician presence at all times.

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