AIMC Topic: Mental Disorders

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Machine learning and big data: Implications for disease modeling and therapeutic discovery in psychiatry.

Artificial intelligence in medicine Aug 9, 2019
INTRODUCTION: Machine learning capability holds promise to inform disease models, the discovery and development of novel disease modifying therapeutics and prevention strategies in psychiatry. Herein, we provide an introduction on how machine learnin...
Humans Artificial Intelligence Machine Learning Mental Disorders Models, Biological Schizophrenia Data Mining Alzheimer Disease Psychiatry Precision Medicine Depression Decision Trees
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Towards integrating personalized feedback research into clinical practice: Development of the Trier Treatment Navigator (TTN).

Behaviour research and therapy Jul 8, 2019
In this study, a computer-based feedback, decision and clinical problem-solving system for clinical practice will be described - the Trier Treatment Navigator (TTN). The paper deals with the underlying research concepts related to personalized pre-tr...
Feedback Male Middle Aged Anxiety Disorders Aged Young Adult Adult Mood Disorders Problem Solving Cognitive Behavioral Therapy Adjustment Disorders Surveys and Questionnaires Adolescent Stress Disorders, Post-Traumatic Decision Support Systems, Clinical Humans Machine Learning Mental Disorders Precision Medicine Clinical Decision-Making Female Patient Dropouts Personality Disorders
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Predicting mechanical restraint of psychiatric inpatients by applying machine learning on electronic health data.

Acta psychiatrica Scandinavica Jul 6, 2019
OBJECTIVE: Mechanical restraint (MR) is used to prevent patients from harming themselves or others during inpatient treatment. The objective of this study was to investigate whether incident MR occurring in the first 3 days following admission could ...
Self-Injurious Behavior Restraint, Physical Early Warning Score Hospitalization Sensitivity and Specificity Male Machine Learning Case-Control Studies Time Factors Mental Disorders Humans Inpatients Electronic Health Records Denmark Female Predictive Value of Tests
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Outcome measurement in mental health services: insights from symptom networks.

BMC psychiatry Jun 28, 2019
BACKGROUND: In mental health, outcomes are currently measured by changes of individual scores. However, such an analysis on individual scores does not take into account the interaction between symptoms, which could yield crucial information while inv...
Social Adjustment Mental Health Services Outcome Assessment, Health Care Models, Psychological Symptom Assessment Male Middle Aged Psychiatric Status Rating Scales Humans Neural Networks, Computer Mental Disorders Female Adult
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Diagnosis of Human Psychological Disorders using Supervised Learning and Nature-Inspired Computing Techniques: A Meta-Analysis.

Journal of medical systems May 28, 2019
A psychological disorder is a mutilation state of the body that intervenes the imperative functioning of the mind or brain. In the last few years, the number of psychological disorders patients has been significantly raised. This paper presents a com...
Humans Mental Disorders Emotions Supervised Machine Learning Data Mining Brain Diseases Behavior Interpersonal Relations
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Computational approaches and machine learning for individual-level treatment predictions.

Psychopharmacology May 27, 2019
RATIONALE: The impact of neuroscience-based approaches for psychiatry on pragmatic clinical decision-making has been limited. Although neuroscience has provided insights into basic mechanisms of neural function, these insights have not improved the a...
Probability Neuroimaging Neurosciences Machine Learning Mental Disorders Psychiatry Humans Prognosis
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Design feasibility of an automated, machine-learning based feedback system for motivational interviewing.

Psychotherapy (Chicago, Ill.) Apr 8, 2019
Direct observation of psychotherapy and providing performance-based feedback is the gold-standard approach for training psychotherapists. At present, this requires experts and training human coding teams, which is slow, expensive, and labor intensive...
Feedback, Psychological Male Clinical Competence Humans Feasibility Studies Mental Disorders Machine Learning Motivational Interviewing Female Adult
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Considering patient safety in autonomous e-mental health systems - detecting risk situations and referring patients back to human care.

BMC medical informatics and decision making Mar 18, 2019
BACKGROUND: Digital health interventions can fill gaps in mental healthcare provision. However, autonomous e-mental health (AEMH) systems also present challenges for effective risk management. To balance autonomy and safety, AEMH systems need to dete...
Female Adult Telemedicine Male Referral and Consultation Middle Aged Risk Assessment Humans Persuasive Communication Mental Disorders Mental Health Services Patient Safety Robotics
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Deep neural networks in psychiatry.

Molecular psychiatry Feb 15, 2019
Machine and deep learning methods, today's core of artificial intelligence, have been applied with increasing success and impact in many commercial and research settings. They are powerful tools for large scale data analysis, prediction and classific...
Psychiatry Deep Learning Machine Learning Humans Algorithms Neural Networks, Computer Mental Disorders Artificial Intelligence Brain
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Machine learning in mental health: a scoping review of methods and applications.

Psychological medicine Feb 12, 2019
BACKGROUND: This paper aims to synthesise the literature on machine learning (ML) and big data applications for mental health, highlighting current research and applications in practice.
Humans Machine Learning Mental Disorders Mental Health Public Health
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