scholarly journals Mental Health Prediction Using Machine Learning: Taxonomy, Applications, and Challenges

2022 ◽  
Vol 2022 ◽  
pp. 1-19
Author(s):  
Jetli Chung ◽  
Jason Teo
Keyword(s):  
Mental Health ◽  
Machine Learning ◽  
Systematic Review ◽  
Mental Health Problems ◽  
Health Problems ◽  
Mental Health Field ◽  
Research Articles ◽  
Future Research ◽  
Learning Approaches ◽  
Health Field

The increase of mental health problems and the need for effective medical health care have led to an investigation of machine learning that can be applied in mental health problems. This paper presents a recent systematic review of machine learning approaches in predicting mental health problems. Furthermore, we will discuss the challenges, limitations, and future directions for the application of machine learning in the mental health field. We collect research articles and studies that are related to the machine learning approaches in predicting mental health problems by searching reliable databases. Moreover, we adhere to the PRISMA methodology in conducting this systematic review. We include a total of 30 research articles in this review after the screening and identification processes. Then, we categorize the collected research articles based on the mental health problems such as schizophrenia, bipolar disorder, anxiety and depression, posttraumatic stress disorder, and mental health problems among children. Discussing the findings, we reflect on the challenges and limitations faced by the researchers on machine learning in mental health problems. Additionally, we provide concrete recommendations on the potential future research and development of applying machine learning in the mental health field.

scholarly journals The Perinatal Mental Health of Indigenous Women: A Systematic Review and Meta-Analysis

2019 ◽  
pp. 070674371987702 ◽  
Author(s):  
Sawayra Owais ◽  
Mateusz Faltyn ◽  
Ashley V. D. Johnson ◽  
Chelsea Gabel ◽  
Bernice Downey ◽  
...  
Keyword(s):  
Mental Health ◽  
Systematic Review ◽  
Mental Health Problems ◽  
Meta Analysis ◽  
Well Being ◽  
Health Problems ◽  
Indigenous Women ◽  
Perinatal Mental Health ◽  
Future Research ◽  
Increased Risk

Objective: Although Indigenous women are exposed to high rates of risk factors for perinatal mental health problems, the magnitude of their risk is not known. This lack of data impedes the development of appropriate screening and treatment protocols, as well as the proper allocation of resources for Indigenous women. The objective of this systematic review and meta-analysis was to compare rates of perinatal mental health problems among Indigenous and non-Indigenous women. Methods: We searched Medline, EMBASE, PsycINFO, CINAHL, and Web of Science from their inceptions until February 2019. Studies were included if they assessed mental health in Indigenous women during pregnancy and/or up to 12 months postpartum. Results: Twenty-six articles met study inclusion criteria and 21 were eligible for meta-analysis. Indigenous identity was associated with higher odds of mental health problems (odds ratio [ OR] 1.62; 95% confidence interval [CI], 1.25 to 2.11). Odds were higher still when analyses were restricted to problems of greater severity ( OR 1.95; 95% CI, 1.21 to 3.16) and young Indigenous women ( OR 1.86; 95% CI, 1.51 to 2.28). Conclusion: Indigenous women are at increased risk of mental health problems during the perinatal period, particularly depression, anxiety, and substance misuse. However, resiliency among Indigenous women, cultural teachings, and methodological issues may be affecting estimates. Future research should utilize more representative samples, adapt and validate diagnostic and symptom measures for Indigenous groups, and engage Indigenous actors, leaders, and related allies to help improve the accuracy of estimates, as well as the well-being of Indigenous mothers, their families, and future generations. Trial Registration: PROSPERO-CRD42018108638.

scholarly journals Digital mental health in China: a systematic review

2021 ◽  
pp. 1-19
Author(s):  
Xiaolong Zhang ◽  
Shôn Lewis ◽  
Joseph Firth ◽  
Xu Chen ◽  
Sandra Bucci
Keyword(s):  
Mental Health ◽  
Systematic Review ◽  
Mental Health Problems ◽  
Digital Health ◽  
Meta Analysis ◽  
Chinese Language ◽  
Health Problems ◽  
Future Research ◽  
The West ◽  
Health Technologies

Abstract Mental health problems are highly prevalent in China; however, China's mental health services lack resources to deliver high-quality care to people in need. Digital mental health is a promising solution to this short-fall in view of the population's digital literacy. In this review, we aim to: (i) investigate the effectiveness, acceptability, usability, and safety of digital health technologies (DHTs) for people with mental health problems in China; (ii) critically appraise the literature; and (iii) make recommendations for future research directions. The databases MEDLINE, PsycINFO, EMBASE, Web of Science, CNKI, WANFANG, and VIP were systemically searched for English and Chinese language articles evaluating DHTs for people with mental health problems in mainland China. Eligible studies were systematically reviewed. The heterogeneity of studies included precluded a meta-analysis. In total, 39 articles were retrieved, reporting on 32 DHTs for various mental health problems. Compared with the digital mental health field in the West, the Chinese studies targeted schizophrenia and substance use disorder more often and investigated social anxiety mediated by shame and culturally specific variants, DHTs were rarely developed in a co-production approach, and methodology quality was less rigorous. To our knowledge, this is the first systematic review focused on digital mental health in the Chinese context including studies published in both English and the Chinese language. DHTs were acceptable and usable among Chinese people with mental health problems in general, similar to findings from the West. Due to heterogeneity across studies and a paucity of robust control trial research, conclusions about the efficacy of DHTs are lacking.

scholarly journals Assessment of Stigma-by-Association amongst Nurses Working in Mental Health Units

2020 ◽  
Vol 2 (3) ◽  
pp. 11
Author(s):  
Taghreed B. Almuzini ◽  
Ghada M. Hamouda ◽  
Loujain S. Sharif
Keyword(s):  
Mental Health ◽  
Mental Health Problems ◽  
Mental Illnesses ◽  
Mental Health Field ◽  
Future Research ◽  
Cross Sectional ◽  
Stigma By Association ◽  
Associative Stigma ◽  
The Government ◽  
Health Field

Context: Stigma-by-association affects not only people with mental health problems and psychiatric patients or their families but also nurses working in the mental health field. Stigma-by-association among nurses working in mental health units can lead to some nurses feeling ashamed and embarrassed when discussing their work. Aim: To assess stigma-by-association amongst nurses working in mental health units. Methods: Descriptive, cross-sectional design was utilized to achieve the aim of this study. The study was conducted at a governmental psychiatric and mental health hospital and two private general hospitals that were not specialized in psychiatric health but had mental health units in Jeddah City. A convenience sampling technique was implemented. The data were collected from 160 registered nurses working in mental health units. The study tools included the Clinician Associative Stigma Scale (CASS) used to measure stigma-by-association among nurses working in mental health units; it consists of 18 statements. Besides, two open-ended questions to measure suggestions and embarrassing situations of nurses working in mental health units about stigma-by- association. Results: The result of the current study revealed that embarrassing situations occurred to nurses working in mental health units that have caused the stigma-by-association. Nurses in both hospitals display a moderate level of stigma by association with a mean percentage of 65.68% among nurses in the government hospital and 69.4% among nurses in the private hospital. The nurses have also suggested that families, patients, and society could be educated on mental illnesses and the role of mental health nurses. Conclusions: This study concludes that the nurses working in mental health units in both government and private hospitals had a moderate stigma-by-association level. Stigma by association among nurses who work in mental health units has also been found to be related to age and years of experience. The study highlighted that psychiatry workshops could help nurses working in the mental health field. Future research is required to identify the causes of stigma-by-association among nurses working in mental health units in the kingdom of Saudi Arabia.

Physical and Psychological Benefits of Written Emotional Expression

2015 ◽  
Vol 20 (4) ◽  
pp. 242-251 ◽  
Author(s):  
Éva Kállay
Keyword(s):  
Mental Health ◽  
Expressive Writing ◽  
Mental Health Problems ◽  
Cost Effective ◽  
Health Problems ◽  
Future Research ◽  
Psychological Benefits ◽  
Cost Effective Treatment ◽  
Meta Analyses

Abstract. The last several decades have witnessed a substantial increase in the number of individuals suffering from both diagnosable and subsyndromal mental health problems. Consequently, the development of cost-effective treatment methods, accessible to large populations suffering from different forms of mental health problems, became imperative. A very promising intervention is the method of expressive writing (EW), which may be used in both clinically diagnosable cases and subthreshold symptomatology. This method, in which people express their feelings and thoughts related to stressful situations in writing, has been found to improve participants’ long-term psychological, physiological, behavioral, and social functioning. Based on a thorough analysis and synthesis of the published literature (also including most recent meta-analyses), the present paper presents the expressive writing method, its short- and long-term, intra-and interpersonal effects, different situations and conditions in which it has been proven to be effective, the most important mechanisms implied in the process of recovery, advantages, disadvantages, and possible pitfalls of the method, as well as variants of the original technique and future research directions.

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