Zia Ullah¹, Esra AlDhaen², Fatema Saleh AlDhaen², Bee-Lia Chua³, Heesup Han^4,*

International Journal of Mental Health Promotion, Vol.25, No.12, pp. 1245-1256, 2023, DOI:10.32604/ijmhp.2023.030577

Abstract Apart from socio-economic disparities, indigenous people of the Himalayan range in Asia face an increasing trend of suicides. The tragic suicidal events usually go unaddressed, and no strategies are presently in place to mitigate suicides in the future. This study aims to explain the prevailing causes of suicidal ideation to come up with some policy recommendations. Through a preliminary survey, we identified social stigma, social isolation, lack of healthcare facilities, and domestic violence as the potential reasons for suicidal ideation. We identified individuals with suicide ideation for further data collection to test the relationships between the identified variables and suicidal… More >

R. Punithavathi^1,*, S. Thenmozhi², R. Jothilakshmi³, V. Ellappan⁴, Islam Md Tahzib Ul⁵

Computer Systems Science and Engineering, Vol.45, No.1, pp. 247-261, 2023, DOI:10.32604/csse.2023.025972

Abstract During Covid pandemic, many individuals are suffering from suicidal ideation in the world. Social distancing and quarantining, affects the patient emotionally. Affective computing is the study of recognizing human feelings and emotions. This technology can be used effectively during pandemic for facial expression recognition which automatically extracts the features from the human face. Monitoring system plays a very important role to detect the patient condition and to recognize the patterns of expression from the safest distance. In this paper, a new method is proposed for emotion recognition and suicide ideation detection in COVID patients. This helps to alert the nurse,… More >