List of Titles

Machine learning in mental health: a scoping review of methods and applications

- Shatte, Adrian, Hutchinson, Delyse, Teague, Samantha

Authors: Shatte, Adrian , Hutchinson, Delyse , Teague, Samantha
Date: 2019
Type: Text , Journal article
Relation: Psychological Medicine Vol. 49, no. 9 (2019), p. 1426-1448
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Description: This paper aims to synthesise the literature on machine learning (ML) and big data applications for mental health, highlighting current research and applications in practice. We employed a scoping review methodology to rapidly map the field of ML in mental health. Eight health and information technology research databases were searched for papers covering this domain. Articles were assessed by two reviewers, and data were extracted on the article's mental health application, ML technique, data type, and study results. Articles were then synthesised via narrative review. Three hundred papers focusing on the application of ML to mental health were identified. Four main application domains emerged in the literature, including: (i) detection and diagnosis (ii) prognosis, treatment and support (iii) public health, and (iv) research and clinical administration. The most common mental health conditions addressed included depression, schizophrenia, and Alzheimer's disease. ML techniques used included support vector machines, decision trees, neural networks, latent Dirichlet allocation, and clustering. Overall, the application of ML to mental health has demonstrated a range of benefits across the areas of diagnosis, treatment and support, research, and clinical administration. With the majority of studies identified focusing on the detection and diagnosis of mental health conditions, it is evident that there is significant room for the application of ML to other areas of psychology and mental health. The challenges of using ML techniques are discussed, as well as opportunities to improve and advance the field.

The role of trauma and partner support in perinatal depression and parenting stress: An Australian pregnancy cohort study

- Galbally, Megan, Watson, Stuart, Boyce, Philip, Lewis, Andrew

Authors: Galbally, Megan , Watson, Stuart , Boyce, Philip , Lewis, Andrew
Date: 2019
Type: Text , Journal article
Relation: International Journal of Social Psychiatry Vol. 65, no. 3 (2019), p. 225-234
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Description: Background: Improving our understanding of the relationship between maternal depression and parenting stress is likely to lie in the range of additional factors that are associated with vulnerability to depression and also to parenting stress. Objectives: To examine the role of trauma and partner support, in understanding the relationship between perinatal depression and parenting stress. Methods: This study utilises data from 246 women in a pregnancy cohort study that followed women from early pregnancy until their infant was 12 months. Included were both women with a diagnosis of depression and those without depression. The measures included Structured Clinical Interview for the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Edinburgh Postnatal Depression Scale, Childhood Trauma Questionnaire, Social Support Effectiveness Questionnaire and the Parenting Stress Index. Results: We found women with depression were more likely to report a history of childhood trauma. Depressive symptoms were positively associated with parenting stress while partner support was negatively associated with parenting stress. The protective role of partner support for parenting distress was observed in those with no history of childhood abuse and low depressive symptoms, but not in those with a trauma history and high depressive symptoms. Conclusions: These findings highlight the importance of early trauma in understanding the protective role of support on the relationship between parenting and depression. These findings can inform future studies and the refinement of future interventions aimed at both perinatal depression and parenting.

Redefining 'Chinese' L1 in SLP: Considerations for the assessment of Chinese bilingual/bidialectal language skills

- Han, Weifeng, Brebner, Chris, McAllister, Sue

Authors: Han, Weifeng , Brebner, Chris , McAllister, Sue
Date: 2016
Type: Text , Journal article
Relation: International Journal of Speech-Language Pathology Vol. 18, no. 2 (2016), p. 135-146
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Description: Purpose: Language assessment of bilingual/bidialectal children can be complex. This is particularly true for speakers from China, who are likely to be bilingual and bidialectal at the same time. There has been, however, a lack of understanding of the diversity of Chinese languages as well as data on bidialectal children's L1 syntactic development and the development of L1 bidialectal children's L2 acquisition. Method: This paper provides information on the complexity of the language system for people from China. It will present illustrative examples of the expressive language outputs of bilingual and bidialectal children from the perspective of bilingual, bidialectal linguists and speech-language pathologists. Then it will outline why appropriate assessment tools and practices for identification of language impairment in bilingual Chinese children need to be developed. Result: Considerations include that Chinese bilingual children may differ in L2 performance because of lack of exposure in the target language or because of their varied L1 dialectal backgrounds, but not necessarily because of language impairment. Conclusion: When evaluating morphosyntactic performance of bilingual children, a series of reliable threshold indicators for possible language impairment is urgently needed for SLPs to facilitate accurate diagnosis of language impairment.

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