Author:
Qarmiche N.,Otmani N.,Tachfouti N.,Amara B.,Akasbi N.,Berrady R.,El Fakir S.
Publisher
Springer Nature Switzerland
Reference15 articles.
1. Bauer, U.E., Briss, P.A., Goodman, R.A., Bowman, B.A.: Prevention of chronic disease in the 21st century: elimination of the leading preventable causes of premature death and disability in the USA. Lancet 384(9937), 45–52 (2014). https://doi.org/10.1016/S0140-6736(14)60648-6
2. Moser, D.K., Riegel, B., McKinley, S., Doering, L.V., An, K., Sheahan, S.: Impact of anxiety and perceived control on in-hospital complications after acute myocardial infarction. Psychosom. Med. 69(1), 10–16 (2007). https://doi.org/10.1097/01.psy.0000245868.43447.d8
3. DeJean, D., Giacomini, M., Vanstone, M., Brundisini, F.: Patient experiences of depression and anxiety with chronic disease: a systematic review and qualitative meta- synthesis. Ont Health Technol Assess Ser 13(16), 1–33 (2013)
4. Gerontoukou, E.-I., Michaelidoy, S., Rekleiti, M., Saridi, M., Souliotis, K.: Investigation of anxiety and depression in patients with chronic diseases. Health Psychol. Res. 3(2), 2123 (2015). https://doi.org/10.4081/hpr.2015.2123
5. Pintelas, E.G., Kotsilieris, T., Livieris, I.E., Pintelas, P.: A review of machine learning prediction methods for anxiety disorders. In: Proceedings of the 8th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion, in DSAI ’18. New York, NY, USA: Association for Computing Machinery, pp. 8–15 (2018). https://doi.org/10.1145/3218585.3218587