AIMC Topic: Mental Disorders
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Convolutional neural network model to predict causal risk factors that share complex regulatory features.
Nucleic acids research
Dec 16, 2019
Major progress in disease genetics has been made through genome-wide association studies (GWASs). One of the key tasks for post-GWAS analyses is to identify causal noncoding variants with regulatory function. Here, on the basis of >2000 functional fe...
[Artificial intelligence and nursing care: reflections in psychiatry].
Soins; la revue de reference infirmiere
Sep 1, 2019
A key government priority, artificial intelligence (IA) in healthcare is a real opportunity for nursing professionals. Faced with the daily difficulties encountered, AI could bring a new perspective to nursing care in psychiatry and free up time for ...
[Corpus Analysis of Psychiatric Disorders Utilizing Natural Language Processing and Neurolinguistics].
Brain and nerve = Shinkei kenkyu no shinpo
Jul 1, 2019
Natural language processing (NLP) is a technology in which a computer processes human "natural language" directly. Along with the development of technologies such as automatic morphological analysis and transition words or sentences to vectors, more ...
Randomized controlled trial of an online machine learning-driven risk assessment and intervention platform for increasing the use of crisis services.
Journal of consulting and clinical psychology
Apr 1, 2019
OBJECTIVE: Mental illness is a leading cause of disease burden; however, many barriers prevent people from seeking mental health services. Technological innovations may improve our ability to reach underserved populations by overcoming many existing ...
Digital Interventions for Mental Disorders: Key Features, Efficacy, and Potential for Artificial Intelligence Applications.
Advances in experimental medicine and biology
Jan 1, 2019
Mental disorders are highly prevalent and often remain untreated. Many limitations of conventional face-to-face psychological interventions could potentially be overcome through Internet-based and mobile-based interventions (IMIs). This chapter intro...
Machine Learning in Neural Networks.
Advances in experimental medicine and biology
Jan 1, 2019
Evidence now suggests that precision psychiatry is becoming a cornerstone of medical practices by providing the patient of psychiatric disorders with the right medication at the right dose at the right time. In light of recent advances in neuroimagin...
Artificial Intelligence in Psychiatry.
Advances in experimental medicine and biology
Jan 1, 2019
Scientific findings over the past few decades have shaped our understanding of the underlying neurobiology associated with psychiatric illnesses. However, despite significant advances in research, there is widespread disappointment with the overall p...
Facial expression recognition based on Electroencephalogram and facial landmark localization.
Technology and health care : official journal of the European Society for Engineering and Medicine
Jan 1, 2019
BACKGROUND: Facial expression recognition plays an essential role in affective computing, mental illness diagnosis and rehabilitation. Therefore, facial expression recognition has attracted more and more attention over the years.
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