AIMC Topic: Mental Disorders

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Detection of abnormal behaviour for dementia sufferers using Convolutional Neural Networks.

Artificial intelligence in medicine Feb 10, 2019
In recent years, there is a rapid increase in the population of elderly people. However, elderly people may suffer from the consequences of cognitive decline, which is a mental health disorder that primarily affects cognitive abilities such as learni...
Humans Neural Networks, Computer Mental Disorders Dementia
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Physical characteristics not psychological state or trait characteristics predict motion during resting state fMRI.

Scientific reports Jan 23, 2019
Head motion (HM) during fMRI acquisition can significantly affect measures of brain activity or connectivity even after correction with preprocessing methods. Moreover, any systematic relationship between HM and variables of interest can introduce sy...
Age Factors Magnetic Resonance Imaging Brain Mapping Middle Aged Adolescent Longitudinal Studies Predictive Value of Tests Sex Factors Movement Machine Learning Mental Disorders Brain Female Adult Male Humans
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A scoping review of ontologies related to human behaviour change.

Nature human behaviour Jan 14, 2019
Ontologies are classification systems specifying entities, definitions and inter-relationships for a given domain, with the potential to advance knowledge about human behaviour change. A scoping review was conducted to: (1) identify what ontologies e...
Humans Mental Disorders Mental Processes Emotions Behavior Therapy Biological Ontologies Behavior
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iMEGES: integrated mental-disorder GEnome score by deep neural network for prioritizing the susceptibility genes for mental disorders in personal genomes.

BMC bioinformatics Dec 28, 2018
BACKGROUND: A range of rare and common genetic variants have been discovered to be potentially associated with mental diseases, but many more have not been uncovered. Powerful integrative methods are needed to systematically prioritize both variants ...
Software Mental Disorders Deep Learning Humans Neural Networks, Computer Area Under Curve Genome, Human Genetic Predisposition to Disease Polymorphism, Single Nucleotide Databases, Genetic
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Using clinical Natural Language Processing for health outcomes research: Overview and actionable suggestions for future advances.

Journal of biomedical informatics Oct 24, 2018
The importance of incorporating Natural Language Processing (NLP) methods in clinical informatics research has been increasingly recognized over the past years, and has led to transformative advances. Typically, clinical NLP systems are developed and...
Semantics Outcome Assessment, Health Care Data Collection Medical Informatics Reproducibility of Results Mental Health Services Natural Language Processing Mental Disorders Electronic Health Records Humans Algorithms
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Assessing the severity of positive valence symptoms in initial psychiatric evaluation records: Should we use convolutional neural networks?

PloS one Oct 16, 2018
BACKGROUND AND OBJECTIVE: Efficiently capturing the severity of positive valence symptoms could aid in risk stratification for adverse outcomes among patients with psychiatric disorders and identify optimal treatment strategies for patient subgroups....
Risk Assessment Humans Diagnosis, Computer-Assisted Neural Networks, Computer Interview, Psychological Mental Disorders
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Translational machine learning for psychiatric neuroimaging.

Progress in neuro-psychopharmacology & biological psychiatry Oct 2, 2018
Despite its initial promise, neuroimaging has not been widely translated into clinical psychiatry to assist in the prediction of diagnoses, prognoses, and optimal therapeutic strategies. Machine learning approaches may enhance the translational poten...
Neuroimaging Humans Machine Learning Mental Disorders Psychiatry Translational Research, Biomedical
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Annual Research Review: Developmental computational psychiatry.

Journal of child psychology and psychiatry, and allied disciplines Sep 4, 2018
Most psychiatric disorders emerge during childhood and adolescence. This is also a period that coincides with the brain undergoing substantial growth and reorganisation. However, it remains unclear how a heightened vulnerability to psychiatric disord...
Human Development Self Concept Motivation Dopamine Adolescent Child Models, Theoretical Mental Disorders Brain Psychiatry Learning Humans Neural Networks, Computer
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Should Artificial Intelligence Augment Medical Decision Making? The Case for an Autonomy Algorithm.

AMA journal of ethics Sep 1, 2018
A significant proportion of elderly and psychiatric patients do not have the capacity to make health care decisions. We suggest that machine learning technologies could be harnessed to integrate data mined from electronic health records (EHRs) and so...
Humans Artificial Intelligence Machine Learning Algorithms Forecasting Informed Consent Data Mining Decision Making Health Services for the Aged Mental Disorders Social Media Technology Personal Autonomy Electronic Health Records
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Predeployment predictors of psychiatric disorder-symptoms and interpersonal violence during combat deployment.

Depression and anxiety Aug 13, 2018
BACKGROUND: Preventing suicides, mental disorders, and noncombat-related interpersonal violence during deployment are priorities of the US Army. We used predeployment survey and administrative data to develop actuarial models to identify soldiers at ...
Models, Theoretical Military Personnel Humans Afghanistan Risk Assessment Violence Machine Learning Female Resilience, Psychological Mental Disorders Suicide Adult Male
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