Author:
Iliou Theodoros,Konstantopoulou Georgia,Ntekouli Mandani,Lymberopoulos Dimitrios,Assimakopoulos Konstantinos,Galiatsatos Dimitrios,Anastassopoulos George
Publisher
Springer International Publishing
Reference8 articles.
1. Miles, C.P.: Conditions predisposing to suicide: a review. J. Nerv. Ment. Dis. 164, 231–246 (1977)
2. Angst, J., Angst, F., Stassen, H.H.: Suicide risk in patients with major depressive disorder. J. Clin. Psychiatry 60, 57–116 (1999)
3. American Psychiatric Association (APA): Practice Guidelines for the treatment of Patients with Major Depressive Disorder. (3rd edn.) (2010)
4. Galiatsatos, D., Konstantopoulou, G., Anastassopoulos, G., Nerantzaki, M., Assimakopoulos, K., Lymberopoulos, D.: Classification of the most significant psychological symptoms in mental patients with depression using bayesian network. In: Proceeding of the 16th International Conference on Engineering Applications of Neural Networks (EANN 2015), 25–28 September 2015
5. Diagnostic and Statistical Manual of Mental Disorders DSM-V, pp. 123–154. American Psychiatric Publishing, Washington DC, 5th edn. (2013)
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