Taming the chaos?! Using eXplainable Artificial Intelligence (XAI) to tackle the complexity in mental health research

[1] Whiteford HA(2015)The global burden of mental, neurological and substance use disorders: an analysis from the global burden of disease study 2010 PLoS ONE 10 e2011295-e2011295

[2] Ferrari AJ(2020)Health care use and costs of children, adolescents, and young adults with somatic symptom and related disorders JAMA Netw Open 3 254-257

[3] Degenhardt L(2010)Clinical and translational science: from bench-bedside to global village Clin Transl Sci 3 564-571

[4] Feigin V(2014)New approaches to psychiatric diagnostic classification Neuron 84 436-442

[5] Vos T(2018)Global mental health and the National Institute of Mental Health Research Domain Criteria Int J Soc Psychiatry 64 184-207

[6] Saunders NR(2017)A theoretical framework for evaluating psychiatric research strategies Comput Psychiatry Camb Mass 1 290-307

[7] Gandhi S(2019)A survey on big data-driven digital phenotyping of mental health Inf Fusion 52 1601-1607

[8] Chen S(2018)A shared vision for machine learning in neuroscience J Neurosci Off J Soc Neurosci 38 427-440

[9] Vigod S(2019)Deep learning for electroencephalogram (EEG) classification tasks: a review J Neural Eng 16 1525-1535

[10] Fung K(2015)Predictors of schizophrenia spectrum disorders in early-onset first episodes of psychosis: a support vector machine model Eur Child Adolesc Psychiatry 24 96-110

[1] Whiteford HA(2015)The global burden of mental, neurological and substance use disorders: an analysis from the global burden of disease study 2010 PLoS ONE 10 e2011295-e2011295

[2] Ferrari AJ(2020)Health care use and costs of children, adolescents, and young adults with somatic symptom and related disorders JAMA Netw Open 3 254-257

[3] Degenhardt L(2010)Clinical and translational science: from bench-bedside to global village Clin Transl Sci 3 564-571

[4] Feigin V(2014)New approaches to psychiatric diagnostic classification Neuron 84 436-442

[5] Vos T(2018)Global mental health and the National Institute of Mental Health Research Domain Criteria Int J Soc Psychiatry 64 184-207

[6] Saunders NR(2017)A theoretical framework for evaluating psychiatric research strategies Comput Psychiatry Camb Mass 1 290-307

[7] Gandhi S(2019)A survey on big data-driven digital phenotyping of mental health Inf Fusion 52 1601-1607

[8] Chen S(2018)A shared vision for machine learning in neuroscience J Neurosci Off J Soc Neurosci 38 427-440

[9] Vigod S(2019)Deep learning for electroencephalogram (EEG) classification tasks: a review J Neural Eng 16 1525-1535

[10] Fung K(2015)Predictors of schizophrenia spectrum disorders in early-onset first episodes of psychosis: a support vector machine model Eur Child Adolesc Psychiatry 24 96-110