Predicting Users’ Latent Suicidal Risk in Social Media: An Ensemble Model Based on Social Network Relationships

Suicide has become a critical concern,necessitating the development of effective preventative strategies.Social media platforms offer a valuable resource for identifying signs of suicidal ideation.Despite progress in detecting suicidal ideation on social media,accurately identifying individuals who express suicidal thoughts less openly or infrequently poses a significant challenge.To tackle this,we have developed a dataset focused on Chinese suicide narratives from Weibo’s Tree Hole feature and introduced an ensemble model named Text Convolutional Neural Network based on Social Network relationships(TCNN-SN).This model enhances predictive performance by leveraging social network relationship features and applying correction factors within a weighted linear fusion framework.It is specifically designed to identify key individuals who can help uncover hidden suicidal users and clusters.Our model,assessed using the bespoke dataset and benchmarked against alternative classification approaches,demonstrates superior accuracy,F1-score and AUC metrics,achieving 88.57%,88.75%and 94.25%,respectively,outperforming traditional TextCNN models by 12.18%,10.84%and 10.85%.We assert that our methodology offers a significant advancement in the predictive identification of individuals at risk,thereby contributing to the prevention and reduction of suicide incidences.

Depression and Suicidal Risk in HIV-Infected Adults at Brazzaville University Hospital: Prevalence and Associated Factors

Introduction: Highly active antiretroviral tritherapies have improved the quality of life of people living with HIV (PVVIH) and extended their life expectancy. However, the nervous system is faced with a neurotropic virus that evolves chronically, sometimes creating neurological disorders directly or indirectly linked to stigmatization or therapeutic effects. Objective: to determine the prevalence of depression associated with suicidal risk (SR) and identify associated factors. Patients and method: This was a prospective descriptive and analytical study from January 1 to November 30, 2022, including all HIV-positive patients receiving or not receiving antiretroviral therapy. The study took place in the infectious diseases department of Brazzaville University Hospital. This department has an inpatient capacity of 36 beds, and an outpatient capacity of 25 patients per day, three times a week. This is the largest center for PVVIH in Brazzaville. The Patient Heath Questionnaire 9 (PHQ-9) was used to assess the degree of depression and suicidal risk. Therapeutic adherence was assessed using the Morisky questionnaire. Data were analyzed using SPSS version 23 software. Qualitative variables were expressed as numbers and percentages, and quantitative variables as means and standard deviations. Statistical tests were used according to their applicability criteria. For all tests, the significance threshold was set at 0.05. Results: A total of 150 patients were consulted, constituting the sample size. The prevalence of depression and suicidal risk was 32%. These patients had an average age of 42.83 ± 10.24 years, were female (n = 101;67.3%), Christian (n = 97;64%), single (n = 68;45.3%). Stigmatization (n = 75;50%) was the reason for attempted suicide. HIV was perceived as treatable (n = 103;68.7%), unlucky (n = 62;41.3%). Patients were WHO stage 1 (n = 105;70%). RS was present in 47 cases (31.3%). Factors associated with depression and suicidal risk were age (p = 0.000), residence (p = 0.028), suicide attempt (p = 0.000), desire to procreate (p = 0.000) and ARV (antiretrovirals) side effects (p Conclusion: The prevalence of depression and suicidal risk was high, in line with stigma and socio-economic conditions. The associated factors were in line with those identified in the literature. Mental health needs to be integrated into the overall care of people living with HIV.

Prevalence and associated factors of suicide among hospitalized schizophrenic patients

BACKGROUND Previous studies found several factors associated with suicide in schizophrenic patients,such as age,sex,education level,history of suicide attempts,psychotic symptoms,social factors,and substance abuse.However,there might be some additional factors that were not considered in previous studies but may be correlated with a greater likelihood of suicide attempts,such as medication and treatment.AIM To investigate the prevalence of suicide attempts and identify the risk of suicidality in hospitalized schizophrenia patients.METHODS This is a cross-sectional study of schizophrenic patients admitted to a psychiatric hospital who were 18 years of age or more.The outcomes and possible suicide risk factors in these patients were collated.The current suicide risk was evaluated using the mini-international neuropsychiatric interview module for suicidality and categorized as none(0 points),mild(1-8 points),moderate(9-16 points),or severe(17 or more points).This study used ordinal logistic regression to assess the association of potential risk factors with the current suicide risk in schizophrenic patients.RESULTS Of 228 hospitalized schizophrenia patients,214(93.9%)were included in this study.The majority(79.0%)of patients were males.Females appeared to have a slightly higher suicidality risk than males,with borderline significance.With regard to the current suicide risk assessed with the mini-international neuropsychiatric interview,172(80.4%)schizophrenic patients scored zero,20(9.4%)had a mild risk,8(3.7%)had a moderate risk,and 14(6.5%)had a severe risk.The total prevalence of current suicide risk in these schizophrenic patients was 19.6%.Based on multivariable ordinal logistic regression analysis with backward elimination,it was found that younger age,a current major depressive episode,receiving fluoxetine or lithium carbonate in the previous month,or a relatively higher Charlson comorbidity index score were all significantly and independently associated with a higher level of suicide risk.CONCLUSION The prevalence rate of suicide attempts in schizophrenia is high.Considering risk factors in routine clinical assessments,environmental manipulations and adequate treatment might prevent or decrease suicide in these patients.

The Utility of Artificial Intelligence for Mood Analysis,Depression Detection,and Suicide Risk Management

Mood disorders are often an indication or a sign of depression,and individuals suffering from mood swings may face higher probability and increased suicidal tendencies.Depression-also called“clinical depression”or a“depressive disorder”-is a mood disorder that adversely impacts how an individual feels,thinks,and handles daily activities,such as sleeping,eating,or working.To be diagnosed with depression,symptoms must be present most of the time,nearly every day for at least minimum of 2 to 3 weeks.Feeling sad or having low emotional energy may be common among people.For most,however,these feelings are transitory and can be managed by changing daily life routines.But for some,prolonged mood disorders can lead to depression and foster suicidal tendencies.Suicide is a major public health concern.Over 47,000 people died by suicide in the United States in 2017.It is the 10th leading cause of death overall according to NIMH(National Institute of Mental Health).Suicide is complicated and tragic,but it is often preventable.Identifying the warning signs for suicide and how to get help can be a major mitigating factor.In this short communication,we are reviewing the promise and limitations of AI(artificial intelligence)with its integrated tools such as ML(machine learning)and DL(deep learning)for mood analysis as a means for detecting early signs of depression and increased suicidal tendencies for possible suicide risk management.

Evaluation of Suicidal Risk in Sickle Cell Patients Monitored at the Hubert Koutoukou Maga National University Hospital Center in Cotonou in 2022

Introduction: According to the WHO, suicide is a real public health problem worldwide, and several risk factors have been identified, including pain and chronic illness. Objective: The aim of this study was to assess the suicidal risk in sickle-cell patients. Method: This was a descriptive and analytical cross-sectional study of sickle-cell patients followed up at the University Clinic of Blood Diseases of Hubert Koutoukou Maga National University Hospital Center from August 2022 to November 2022. The instrument used was the Ducher suicide risk self-assessment scale. Results: A total of 65 patients were included. Mean age was 27.04 ± 1.95 years, with extremes of 16 and 50 years, and a peak of 47.69% in the 20 - 30 age group. Women predominated (58.46%), with a sex ratio of 0.71. Somatic complaints accounted for 41.54% of patients’ visits, including 21.54% for pain. Suicidal risk was positive in 44.62%, including 13.85% for severe suicidal risk, and 20% attributed their desire to die to pain. The factor associated with positive suicidal risk was single parenthood (p = 0.02). Of those with a positive suicidal risk, 46% had shared the intention with close relatives (family and friends), but none had used medical services. Conclusion: These data demonstrate the high prevalence of suicidal risk among people with sickle cell disease, and therefore the need for psychosocial intervention in this specific population in Benin.

Transcranial and Repetitive Transcranial Magnetic Stimulation Driving a Noninvasive Depression Treatment

These days the most devasting disease that is even worse than the new pandemic COVID19 is commonly spreading and exists is human depression to be more specific.The world-wide episode of depression is something that has no permanent cure either among the youngsters in particular and older people in general.Researchers and scientists in the field of medicine and psychology are looking for some noninvasive approaches to treat this disease.Present chemical medications available in the market that are subscribed to patients are not effective as one set of solution across all the patients and in case of deep depression invasive solution such as clinical Electro-Convulsive Therapy(ECT)in most cases should not be prescribed due to tremendous and devasting side effects of it on patients that are going through such treatment for long term as a means of solution to their depression problem.New studies and clinical results are supporting a new generation of magnetic treatment approach that is known as Transcranial Magnetic Stimulation(TMS)or in case of a longer term suggests repetitive Transcranial Magnetic Stimulation(rTMS),both as very non-invasive approaches with almost no adverse side effects on patients that are receiving such clinical treatments.In this paper we study these two recently approved approaches by Food and Drug Administration(FDA)as well as a newly suggested electric energy medicine by utilizing a new form of wave that is known as a Scalar Wave,which is a non-linear,non-Hertzian,standing wave capable of supporting significant effects including carrying information and inducing higher levels of cellular energy,which greatly enhances the performance and effectiveness of the body and immune system.

Risk Factors for Viral Non-Suppression among People Living with HIV and Major Depressive Disorder in Uganda

Background: Several studies indicate that depression is associated with non-viral suppression among persons living with HIV (PLWH) using antiretroviral therapy (ART) worldwide. However, among PLWH with major depressive disorder, factors associated with non-viral suppression remain uncertain. We determined the prevalence and identified the factors associated with viral non-suppression among PLWH with major depressive disorder using ART in Northern Uganda. Method: A total of 30 primary care HIV clinics across three northern districts (Gulu, Kitgum, Pader) participated in the study. Using baseline data from the SEEK-GSP study, a cluster-randomized trial in northern Uganda (2016-2019) that involved 1140 PLWH with mild to moderate major depressive disorder;we examined the demographic, clinical, and psychosocial factors using standardized questionnaires. Data on viral load was abstracted from clinic records and dichotomized into suppressed (Results: We recruited 1140 PLWH. The viral non-suppression prevalence was 12.2%. In multivariable analysis, the only baseline psychosocial variable independently associated with non-viral suppression was suicide risk (PRR = 1.56, 95% CI: 1.05 - 2.32, p-value = 0.029). The prevalence odds for non-viral suppression were 56% higher among depressed PLWH with moderate to high suicide risk than those with low suicide risk. Among clinical variables, duration on ART ≥ 4 years was independently associated with non-viral suppression (PRR = 1.62, 95% CI: 1.09 - 2.32, p-value = 0.015). Conclusions: Suicide risk and longer duration on ART are associated with non-viral suppression among anti-retroviral therapy users with mild to moderate major depressive disorder in Uganda. As ART is scaled up across Sub-Saharan Africa, first-line psychological care for depression and its complications is urgently needed in established HIV treatment centers.

Cosmetic Breast Implants Linked to Suicide Risk

选注者言:本文信息极为丰富。首先,我们得知当今美国的三大整容外科是:eyelid surgery,breast reduction and nose reshaping。其次,文章告诉读者,去年(2002年)美国施行隆胸手术的妇女达25万之众;再次,就是本文的标题所言,要求进行隆胸手术的女性中的自杀者比例高于不要求隆胸者。而且,更值得注意的是:If women have a psychological problem and they are given breast implantsthey will still have that problem.(假如一个女性存在心理问题,而且进行了隆胸手术,她们的心理问题依旧存在。)