Computational Approaches in Psychiatry and Neuropsychiatry: Issues and Challenges on Mental Disorders
A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Digital Health".
Deadline for manuscript submissions: closed (31 July 2023) | Viewed by 3939
Special Issue Editors
Interests: automated deception detection; sentiment analysis; computational psychiatry
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Reduced availability of psychiatrists and therapists, the increasing supply of computational resources, and the ease of large-scale data processing have amplified the value of computing-based methods, allowing at least partial automation of some activities related to the diagnosis and treatment of mental disorders.
This Special Issue is devoted to computer methods of assisting researchers and clinicians in the fields of psychology, psychiatry and neuropsychiatry. We are seeking articles that address screening, clinical diagnosis, and therapy, using all kinds of computational methods. Deep learning and machine learning are of particular interest, but submissions from broadly understood computational data analysis are also welcome.
Potential topics include (but are not limited to):
- Methods supporting clinical diagnosis and treatment using computer-based approaches.
- Using computational data analysis to identify disorder-related signals at various stages.
- Detecting phenomena such as prosody, emotions, sentiment, metaphors, and various semantic, syntactic, and behavioral patterns in relation to mental disorders and psychiatric conditions.
- Automated disorder detection from one modality data (e.g., text, sound, and video).
- Automated disorder detection from multimodal data.
- Hybrid methods, data fusion, and the design of effective multimodal feature spaces and vector representations.
- Using social media data to detect potential disorders from online samples to support large-scale automated screening.
- Deep learning applied to neuroimaging data (e.g., MRI, EEG) to diagnose disorders.
- Computer support for therapy and treatment, including avatars and therapy bots using both text and multimodal interfaces.
- Issues of dialogue systems and natural language generation.
Dr. Aleksander Wawer
Dr. Izabela Stefaniak
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Environmental Research and Public Health is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- computational psychiatry
- disorder detection using machine learning
- automating diagnosis
- computer-aided therapy
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.