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A review of machine learning and deep learning approaches on mental health diagnosis
Combating mental illnesses such as depression and anxiety has become a global concern.
As a result of the necessity for finding effective ways to battle these problems, machine …
As a result of the necessity for finding effective ways to battle these problems, machine …
Clinical prediction models in psychiatry: a systematic review of two decades of progress and challenges
Recent years have seen the rapid proliferation of clinical prediction models aiming to
support risk stratification and individualized care within psychiatry. Despite growing interest …
support risk stratification and individualized care within psychiatry. Despite growing interest …
[HTML][HTML] Methodological and quality flaws in the use of artificial intelligence in mental health research: systematic review
R Tornero-Costa, A Martinez-Millana… - JMIR Mental …, 2023 - mental.jmir.org
Background: Artificial intelligence (AI) is giving rise to a revolution in medicine and health
care. Mental health conditions are highly prevalent in many countries, and the COVID-19 …
care. Mental health conditions are highly prevalent in many countries, and the COVID-19 …
Modern views of machine learning for precision psychiatry
In light of the National Institute of Mental Health (NIMH)'s Research Domain Criteria (RDoC),
the advent of functional neuroimaging, novel technologies and methods provide new …
the advent of functional neuroimaging, novel technologies and methods provide new …
The role of the oral microbiota related to periodontal diseases in anxiety, mood and trauma-and stress-related disorders
The prevalence of anxiety, mood and trauma-and stress-related disorders are on the rise;
however, efforts to develop new and effective treatment strategies have had limited success …
however, efforts to develop new and effective treatment strategies have had limited success …
Applications of artificial intelligence− machine learning for detection of stress: a critical overview
AFA Mentis, D Lee, P Roussos - Molecular Psychiatry, 2024 - nature.com
Psychological distress is a major contributor to human physiology and pathophysiology, and
it has been linked to several conditions, such as auto-immune diseases, metabolic …
it has been linked to several conditions, such as auto-immune diseases, metabolic …
Development and validation of a machine learning prediction model of posttraumatic stress disorder after military deployment
Importance Military deployment involves significant risk for life-threatening experiences that
can lead to posttraumatic stress disorder (PTSD). Accurate predeployment prediction of …
can lead to posttraumatic stress disorder (PTSD). Accurate predeployment prediction of …
[HTML][HTML] At-home, telehealth-supported ketamine treatment for depression: Findings from longitudinal, machine learning and symptom network analysis of real-world …
Background Improving safe and effective access to ketamine therapy is of high priority given
the growing burden of mental illness. Telehealth-supported administration of sublingual …
the growing burden of mental illness. Telehealth-supported administration of sublingual …
[HTML][HTML] Integrated analysis of proteomics, epigenomics and metabolomics data revealed divergent pathway activation patterns in the recent versus chronic post …
Metabolomics, proteomics and DNA methylome assays, when done in tandem from the
same blood sample and analyzed together, offer an opportunity to evaluate the molecular …
same blood sample and analyzed together, offer an opportunity to evaluate the molecular …
The link between post-traumatic stress disorder and systemic lupus erythematosus
L Goldschen, J Ellrodt, HL Amonoo… - Brain, behavior, and …, 2023 - Elsevier
Systemic lupus erythematosus (SLE) is a heterogeneous, multisystem autoimmune disorder
characterized by unpredictable disease flares. Although the pathogenesis of SLE is …
characterized by unpredictable disease flares. Although the pathogenesis of SLE is …