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 >

M.-F. Bacqué, I. Dumont, J. Maclure, P. Guex, L. Fasse, M. Derzelle

Psycho-Oncologie, Vol.16, No.2, pp. 219-222, 2022, DOI:10.3166/pson-2022-0200

Abstract This article has no abstract. More >

Jie Chen^1,2, Xiaoping Ding^1,2, Xin Peng³, Deying Hu^1,3,*

International Journal of Mental Health Promotion, Vol.25, No.1, pp. 1-20, 2023, DOI:10.32604/ijmhp.2022.022578

Abstract Digestive system cancers are important causes of morbidity and mortality worldwide. Cancer patients are more likely to commit suicide. The objective of this scoping review is to provide a comprehensive and updated summary of the existing literature on suicide among patients with digestive system cancers to identify the incidence and risk factors relevant to suicide in these populations. The PRISMA-Scr (Preferred Reporting Items for Systematic reviews and Meta-Analyses extension protocol for scoping reviews) protocol was used. The review was based on relevant articles published prior to January 2022 in databases of Web of Science and PubMed. The authors identified 21… 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 >

Harrison Schurr, Andrei Tuluca^*, Beth Bailey

International Journal of Mental Health Promotion, Vol.24, No.2, pp. 159-167, 2022, DOI:10.32604/ijmhp.2022.017990

Abstract Suicide is a top ten cause of mortality in the United States. In previous literature the suicide rates in rural communities have been reported to be greater than those of more urban communities. Additionally, these studies have discussed many potential causes for the unfortunate disparity in rates. One cause often discussed is lack of mental health care providers in rural communities. The data for this study was gathered from the CDC’s WONDER database and the NPPES NPI Registry. The urban-rural categorization of counties used the 2013 NCHS Urban-Rural Scheme. Statistical analysis included chi-square tests, paired t-tests, and stepwise regression analyses.… More >

Nasir Mahmood^*, Muhammad Usman Ghani Khan

CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 4411-4428, 2022, DOI:10.32604/cmc.2022.013956

Abstract This study proposes an architecture for the prediction of extremist human behaviour from projected suicide bombings. By linking ‘dots’ of police data comprising scattered information of people, groups, logistics, locations, communication, and spatiotemporal characters on different social media groups, the proposed architecture will spawn beneficial information. This useful information will, in turn, help the police both in predicting potential terrorist events and in investigating previous events. Furthermore, this architecture will aid in the identification of criminals and their associates and handlers. Terrorism is psychological warfare, which, in the broadest sense, can be defined as the utilisation of deliberate violence for… More >

Yuanyuan Xue^1,2, Qi Li¹, TongWu¹, LingFeng¹, Liang Zhao³, FengYu³

Computer Systems Science and Engineering, Vol.34, No.2, pp. 65-78, 2019, DOI:10.32604/csse.2019.34.065

Abstract Suicide has been a perplexing social problem around the world for a long time. Timely sensing hidden suicide risk and offering effective intervention are highly desirable and valuable for individuals and their families. Psychological studies prove that stress status, suicide-related expressions, and social engagement are reliable predictors of suicide risk. However, existing clinical diagnosis can only provide effective treatments to a restricted number of people because of its limited capacity. With the popular usage of social media like microblogs, a new channel to touch the inner world of many potential suicides arises. In this paper, we explore to automatically detect… More >