AIMC Topic: Psychiatry

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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...
Psychiatry Learning Adolescent Neural Networks, Computer Mental Disorders Brain Motivation Dopamine Human Development Child Models, Theoretical Self Concept Humans
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Making Individual Prognoses in Psychiatry Using Neuroimaging and Machine Learning.

Biological psychiatry. Cognitive neuroscience and neuroimaging Apr 22, 2018
Psychiatric prognosis is a difficult problem. Making a prognosis requires looking far into the future, as opposed to making a diagnosis, which is concerned with the current state. During the follow-up period, many factors will influence the course of...
Machine Learning Humans Mental Disorders Psychiatry Prognosis Neuroimaging
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Leveraging existing corpora for de-identification of psychiatric notes using domain adaptation.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
De-identification of clinical notes is a special case of named entity recognition. Supervised machine-learning (ML) algorithms have achieved promising results for this task. However, ML-based de-identification systems often require annotating a large...
Algorithms Diabetes Mellitus Datasets as Topic Humans Psychiatry Natural Language Processing Outpatients Electronic Health Records Machine Learning Data Anonymization Patient Discharge Summaries
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Machine Learning Approaches for Clinical Psychology and Psychiatry.

Annual review of clinical psychology Jan 29, 2018
Machine learning approaches for clinical psychology and psychiatry explicitly focus on learning statistical functions from multidimensional data sets to make generalizable predictions about individuals. The goal of this review is to provide an access...
Humans Precision Medicine Machine Learning Psychology, Clinical Mental Disorders Psychiatry
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Machine Learning for Precision Psychiatry: Opportunities and Challenges.

Biological psychiatry. Cognitive neuroscience and neuroimaging Dec 6, 2017
The nature of mental illness remains a conundrum. Traditional disease categories are increasingly suspected to misrepresent the causes underlying mental disturbance. Yet psychiatrists and investigators now have an unprecedented opportunity to benefit...
Psychiatry Precision Medicine Endophenotypes Humans Machine Learning Mental Disorders
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A natural language processing challenge for clinical records: Research Domains Criteria (RDoC) for psychiatry.

Journal of biomedical informatics Oct 16, 2017
Natural Language Processing Medical Records Psychiatry
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Teaching to See Behaviors-Using Machine Learning?

Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry Aug 15, 2017
Psychiatry Inventions Behavior Humans Machine Learning Teaching Staff Development
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Problematic internet use (PIU): Associations with the impulsive-compulsive spectrum. An application of machine learning in psychiatry.

Journal of psychiatric research Aug 15, 2016
Problematic internet use is common, functionally impairing, and in need of further study. Its relationship with obsessive-compulsive and impulsive disorders is unclear. Our objective was to evaluate whether problematic internet use can be predicted f...
Compulsive Behavior Female Reproducibility of Results Predictive Value of Tests Aged South Africa Aged, 80 and over Adolescent Internet Young Adult ROC Curve Adult Online Systems United States Male Humans Obsessive-Compulsive Disorder Middle Aged Machine Learning Behavior, Addictive Surveys and Questionnaires Psychiatry
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Machine learning, statistical learning and the future of biological research in psychiatry.

Psychological medicine Jul 13, 2016
Psychiatric research has entered the age of 'Big Data'. Datasets now routinely involve thousands of heterogeneous variables, including clinical, neuroimaging, genomic, proteomic, transcriptomic and other 'omic' measures. The analysis of these dataset...
Humans Machine Learning Psychiatry Biomedical Research Datasets as Topic Probability Learning
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Validation of a novel classification model of psychogenic nonepileptic seizures by video-EEG analysis and a machine learning approach.

Epilepsy & behavior : E&B May 20, 2016
The aim of this study was to validate a novel classification for the diagnosis of PNESs. Fifty-five PNES video-EEG recordings were retrospectively analyzed by four epileptologists and one psychiatrist in a blind manner and classified into four distin...
Video Recording Psychiatry Focus Groups Retrospective Studies Single-Blind Method Humans Somatoform Disorders Female Neural Networks, Computer Male Electroencephalography Machine Learning Middle Aged Seizures Diagnosis, Differential
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