Abstract
Mental health is an integral part of health and wellness, it covers both an individual and a collective dimension, so it is essential to promote it. Moreover, nowadays the digital era has seen an exponential development of various tools using the Internet. A new solution has been proposed in this article that takes advantage of this technological era to improve the mental health of people in mental distress suffering in silence. The proposed solution is based on a mobile web application available in three different languages, on which the patient will create his account, will then pass internationally recognized psychological tests such as Hospital Anxiety and Depression Scale and Perceived Stress Scale-10, he will instantly receive psychological recommendations designed by professional psychologists based on his score, in addition, to support and psychological help according to the evolution of his psychological state. The main objective of the solution is to promote mental health by diagnosing the maximum of people suffering from mental disorders, to prepare electronic medical records for each of the patients by collecting the maximum of data in order to apply the Big data process afterward and guarantee more efficient and intelligent service.
C. Taoussi, I. Hafidi and A. Metrane—Contributed equally to this work. All authors have read and approved the final manuscript.
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Taoussi, C., Hafidi, I., Metrane, A. (2023). Solution Based on Mobile Web Application to Detect and Treat Patients with Mental Disorders. In: Aboutabit, N., Lazaar, M., Hafidi, I. (eds) Advances in Machine Intelligence and Computer Science Applications. ICMICSA 2022. Lecture Notes in Networks and Systems, vol 656. Springer, Cham. https://doi.org/10.1007/978-3-031-29313-9_20
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