Machine learning in mental health: a sco** review of methods and applications
BackgroundThis paper aims to synthesise the literature on machine learning (ML) and big
data applications for mental health, highlighting current research and applications in …
data applications for mental health, highlighting current research and applications in …
Applications of machine learning algorithms to predict therapeutic outcomes in depression: a meta-analysis and systematic review
Background No previous study has comprehensively reviewed the application of machine
learning algorithms in mood disorders populations. Herein, we qualitatively and …
learning algorithms in mood disorders populations. Herein, we qualitatively and …
Machine learning in the prediction of depression treatment outcomes: a systematic review and meta-analysis
Background Multiple treatments are effective for major depressive disorder (MDD), but the
outcomes of each treatment vary broadly among individuals. Accurate prediction of …
outcomes of each treatment vary broadly among individuals. Accurate prediction of …
Genetic contributions of inflammation to depression
J Barnes, V Mondelli, CM Pariante - Neuropsychopharmacology, 2017 - nature.com
This paper describes the effects of immune genes genetic variants and mRNA expression
on depression's risk, severity, and response to antidepressant treatment, through a …
on depression's risk, severity, and response to antidepressant treatment, through a …
Low-grade inflammation as a predictor of antidepressant and anti-inflammatory therapy response in MDD patients: a systematic review of the literature in combination …
G Arteaga-Henríquez, MS Simon, B Burger… - Frontiers in …, 2019 - frontiersin.org
Low-grade inflammation plays a role not only in the pathogenesis of major depressive
disorder (MDD) but probably also in the poor responsiveness to regular antidepressants …
disorder (MDD) but probably also in the poor responsiveness to regular antidepressants …
Aiding and abetting anhedonia: impact of inflammation on the brain and pharmacological implications
Exogenous administration of inflammatory stimuli to humans and laboratory animals and
chronic endogenous inflammatory states lead to motivational deficits and ultimately …
chronic endogenous inflammatory states lead to motivational deficits and ultimately …
The emergence, implementation, and future growth of pharmacogenomics in psychiatry: a narrative review
Psychotropic medication efficacy and tolerability are critical treatment issues faced by
individuals with psychiatric disorders and their healthcare providers. For some people, it can …
individuals with psychiatric disorders and their healthcare providers. For some people, it can …
Challenges and future prospects of precision medicine in psychiatry
Precision medicine is increasingly recognized as a promising approach to improve disease
treatment, taking into consideration the individual clinical and biological characteristics …
treatment, taking into consideration the individual clinical and biological characteristics …
Large-scale transcriptomics studies provide insight into sex differences in depression
Major depressive disorder (MDD) is a leading cause of disability, affecting more than 300
million people worldwide. We first review the well-known sex difference in incidence of …
million people worldwide. We first review the well-known sex difference in incidence of …
Pharmacogenomics in the treatment of mood disorders: strategies and opportunities for personalized psychiatry
Personalized medicine (personalized psychiatry in a specific setting) is a new model
towards individualized care, in which knowledge from genomics and other omic pillars …
towards individualized care, in which knowledge from genomics and other omic pillars …