Abstract: The present invention discloses a method for predicting the number of suicides using social information by considering more realistic factors such as the current environment where the individuals are frequently exposed to the social atmosphere and interact with each other with the development of the social media as well as the climate and economic conditions affecting suicides, modeling the regression analysis model by reflecting the social information such as the number of suicide-related postings posted in the social network services, the situation in which the suicide of the specific famous person is reported, and the like, and applying the social indicators such as the posting indicator, the specific person's suicide indicator, and the like to the regression analysis model to predict the number of suicides, and a device using the same.

Abstract: Disclosed is a method for providing information on the therapeutic effect of an SSRI antidepressant by identifying TPH2 gene polymorphism rs4760815, SLC6A4 gene polymorphism 5-HTTLPR, SLC6A4 gene polymorphism rs2066713, GAD1 gene polymorphism rs3828275, and GRIK2 gene polymorphism rs543196. Through the disclosed method, it is possible to select an antidepressant based on genetic information, to prevent the worsening or relapse of depression, and to establish customized depression treatment models which are effective in the development of customized new drugs, and appropriate for Korean people. Therefore, the base of domestic clinical trials can be expanded, which will enhance competitive power in the pharmaceutical market and preoccupy technology of drug prediction.

Abstract: Disclosed is a method for providing information on the therapeutic effect of an SSRI antidepressant by identifying TPH2 gene polymorphism rs4760815, SLC6A4 gene polymorphism 5-HTTLPR, SLC6A4 gene polymorphism rs2066713, GAD1 gene polymorphism rs3828275, and GRIK2 gene polymorphism rs543196. Through the disclosed method, it is possible to select an antidepressant based on genetic information, to prevent the worsening or relapse of depression, and to establish customized depression treatment models which are effective in the development of customized new drugs, and appropriate for Korean people. Therefore, the base of domestic clinical trials can be expanded, which will enhance competitive power in the pharmaceutical market and preoccupy technology of drug prediction.

Abstract: The present invention discloses is a method of selecting a drug based on personal genetic information when prescribing an antidepressant for a depressed patient. According to the invention, either a noradrenaline reuptake inhibitor (NRI) antidepressant or a selective serotonin reuptake inhibitor (SSRI) antidepressant can be selected based on the combination of monoamine transporter gene polymorphisms, that is, NET G1287A polymorphism in a norepinephrine transporter (NET) gene, serotonin transporter gene (5-HTT) promoter polymorphism and 5-HTT gene intron 2 polymorphism. Also, based on the norepinephrine transporter gene NET G1287A polymorphism alone, the noradrenaline reuptake inhibitor (NRI) antidepressant can be selected.