AIMC Topic: Mental Disorders
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How wide is the application of genetic big data in biomedicine.
Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie
Dec 9, 2020
In the era of big data, massive genetic data, as a new industry, has quickly swept almost all industries, especially the pharmaceutical industry. As countries around the world start to build their own gene banks, scientists study the data to explore ...
Smart conversational agents for the detection of neuropsychiatric disorders: A systematic review.
Journal of biomedical informatics
Dec 2, 2020
OBJECTIVE: To determine whether smart conversational agents can be used for detection of neuropsychiatric disorders. Therefore, we reviewed the technologies used, targeted mental disorders and validation procedures of relevant proposals in this field...
Digital Gaming Interventions in Psychiatry: Evidence, Applications and Challenges.
Psychiatry research
Nov 24, 2020
Human evolution has regularly intersected with technology. Digitalization of various services has brought a paradigm shift in consumerism. Treading this path, mental health practice has gradually moved to Digital Mental Health Interventions (DMHI), t...
Machine learning for psychiatry: getting doctors at the black box?
Molecular psychiatry
Nov 10, 2020
Recent developments in the field of machine learning have spurred high hopes for diagnostic support for psychiatric patients based on brain MRI. But while technical advances are undoubtedly remarkable, the current trajectory of mostly proof-of-concep...
A modeling framework for adaptive lifelong learning with transfer and savings through gating in the prefrontal cortex.
Proceedings of the National Academy of Sciences of the United States of America
Nov 5, 2020
The prefrontal cortex encodes and stores numerous, often disparate, schemas and flexibly switches between them. Recent research on artificial neural networks trained by reinforcement learning has made it possible to model fundamental processes underl...
Big data in severe mental illness: the role of electronic monitoring tools and metabolomics.
Personalized medicine
Oct 30, 2020
There is an increasing interest in the development of effective early detection and intervention strategies in severe mental illness (SMI). Ideally, these efforts should lead to the delineation of accurate staging models of SMI enabling personalized ...
Using de-identified electronic health records to research mental health supported housing services: A feasibility study.
PloS one
Aug 20, 2020
BACKGROUND: Mental health supported housing services are a key component in the rehabilitation of people with severe and complex needs. They are implemented widely in the UK and other deinstitutionalised countries but there have been few empirical st...
Deep learning for small and big data in psychiatry.
Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology
Jul 15, 2020
Psychiatry today must gain a better understanding of the common and distinct pathophysiological mechanisms underlying psychiatric disorders in order to deliver more effective, person-tailored treatments. To this end, it appears that the analysis of '...
Machine learning for genetic prediction of psychiatric disorders: a systematic review.
Molecular psychiatry
Jun 26, 2020
Machine learning methods have been employed to make predictions in psychiatry from genotypes, with the potential to bring improved prediction of outcomes in psychiatric genetics; however, their current performance is unclear. We aim to systematically...
AI in mental health.
Current opinion in psychology
Jun 3, 2020
With the advent of digital approaches to mental health, modern artificial intelligence (AI), and machine learning in particular, is being used in the development of prediction, detection and treatment solutions for mental health care. In terms of tre...
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