Conferences related to Mental disorders

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2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2014)

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  • 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2013)

    Papers are solicited in all related areas in robotics and intelligent systems. Proposals for tutorials and workshops, as well as organized/special sessions are also welcome to address the emerging areas and innovative applications of new technologies.

  • 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2012)

    The 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2012) will be held in Vilamoura-Algarve, Portugal, during October 7-11, 2012. The theme of the conference will be Robotics for Quality of Life and Sustainable Development. Papers are solicited in all related areas in robotics and intelligent systems. Proposals for tutorials and workshops, as well as organized/special sessions are also welcome to address the emerging areas and innovative applications of new technologies.

  • 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011)

    The 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011) will be held in San Francisco, California, USA, during September 25-30, 2011. The theme of the conference will be Human- Centered Robotics, and its format will feature innovations in the form of interactive multimedia presentations and special-topic symposia celebrating 50 years of robotics.

  • 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2010)

    Papers are solicited in all related areas in robotics and intelligent systems. Proposals and tutorials and workshops, as well as organized/special sessions are also welcome to address the emerging areas and innovative applications of new technologies.


2013 IEEE Systems and Information Engineering Design Symposium (SIEDS)

SIEDS is a student focused international forum for applied research, development, and design in Systems and Information Engineering. The symposium is the leading showcase for undergraduate and masters graduate design projects or design oriented graduate theses. Faculty, industry, and government project advisors are welcome coauthors.


2012 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

BIBM 2012 solicits high-quality original research papers (including significant work-in-progress) in any aspect of bioinformatics, biomedicine and healthcare informatics. New computational techniques and methods in machine learning; data mining; text analysis; pattern recognition; knowledge representation; databases; data modeling; combinatorics; stochastic modeling; string and graph algorithms; linguistic methods; robotics; constraint satisfaction; data visualization; parallel computation; data integration; modeling and simulation and their application in life science domain are especially encouraged.


2012 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)

BHI devotes to an inter-disciplinary research area intersecting engineering, information technology and computer science with biology, medicine and health. The scope includes but not limited to innovative technologies and applications on acquisition, transmission, processing, storage, retrieval (P-STAR) of biomedical and health information, bio-inspired informatics and informatics in biological systems.


2011 4th International Conference on Human System Interactions (HSI)

The recent development of computational technologies contributes to introducing intelligent and interactive systems for supporting and extending human activities. International Conference series on Human System Interactions have been providing a platform for interdisciplinarily exchanging ideas, knowledge, skills and experiences in interactions between human and systems.

  • 2010 3rd International Conference on Human System Interactions (HSI)

    Rapid changes of information technologies lead to boosting the strength and efficiency of human activity. These technologies have an influence on every particular area of human life, including education, science, business, leisure time, entertainment, state administration, health care. Human life is greatly dependent on these systems efficiency and performance. HSI conference has been prepared as a platform for exchanging ideas, knowledge, skills and experiences in interactions between man and these s


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Periodicals related to Mental disorders

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Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Information Technology in Biomedicine, IEEE Transactions on

Telemedicine, teleradiology, telepathology, telemonitoring, telediagnostics, 3D animations in health care, health information networks, clinical information systems, virtual reality applications in medicine, broadband technologies, and global information infrastructure design for health care.


Professional Communication, IEEE Transactions on

The study, development, improvement, and promotion of techniques for preparing, organizing for use, processing, editing, collecting, conserving, and disseminating any form of information in the electrical and electronics fields.




Xplore Articles related to Mental disorders

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Schizophrenia Classification using Working Memory MEG ERD/ERS Patterns

Nuri F. Ince; Massoud Stephane; Ahmed H. Tewfik; Giuseppe Pellizzer; Kate McClannahan 2007 3rd International IEEE/EMBS Conference on Neural Engineering, 2007

In this paper we investigate the use of event related desynchronization (ERD) and synchronization (ERS) patterns extracted from magnetoencephalogram (MEG) in a working memory task to discriminate between controls and patients with schizophrenia. In the experimental paradigm, sequential letters appearing on a screen are memorized by subjects. In one of two conditions the letters constituted a word. The ERD and ...


Computational Objectivity in Depression Assessment for Unstructured Large Datasets

Aaron Johnson; Paul Holmes; Lewis Craske; Marcello Trovati; Nik Bessis; Peter Larcombe 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing, 2015

The Patient Health Questionnaire (PHQ-9) is the depression module, which provides a score correlating to each of the Depression Severity Measure (DSM- IV) criteria, whose output is a total score suggesting which category of depression a patient slots into. In this paper we propose a novel method to potentially improve the current system in place for health professionals in diagnosing ...


Notice of Retraction<BR>New undergraduate college students common psychological problems and intervention strategies

Xu Ya-ping; Li Wen-zhong Proceedings of 2011 International Conference on Electronic & Mechanical Engineering and Information Technology, 2011

Notice of Retraction After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles. We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper. The presenting author of this paper ...


Artificial intelligence in psychiatry: issues and questions

R. Morelli Images of the Twenty-First Century. Proceedings of the Annual International Engineering in Medicine and Biology Society,, 1989

Several recent research prototypes and applications are discussed with the goal of identifying key issues and open questions for further research and discussion. Special opportunities and challenges presented by the psychiatric domain are identified, and an attempt is made to relate artificial intelligence issues in the psychiatric domain with current trends in other domains. The author maintains that one of ...


Tree Mining in Mental Health Domain

Maja Hadzic; Fedja Hadzic; Tharam Dillon Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008), 2008

The number of mentally ill people is increasing globally each year. Despite major medical advances, the identification of genetic and environmental factors responsible for mental illnesses still remains unsolved and is therefore a very active research focus today. Semi-structured data structure is predominantly used to enable the meaningful representations of the available mental health knowledge. Data mining techniques can be ...


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Educational Resources on Mental disorders

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eLearning

Schizophrenia Classification using Working Memory MEG ERD/ERS Patterns

Nuri F. Ince; Massoud Stephane; Ahmed H. Tewfik; Giuseppe Pellizzer; Kate McClannahan 2007 3rd International IEEE/EMBS Conference on Neural Engineering, 2007

In this paper we investigate the use of event related desynchronization (ERD) and synchronization (ERS) patterns extracted from magnetoencephalogram (MEG) in a working memory task to discriminate between controls and patients with schizophrenia. In the experimental paradigm, sequential letters appearing on a screen are memorized by subjects. In one of two conditions the letters constituted a word. The ERD and ...


Computational Objectivity in Depression Assessment for Unstructured Large Datasets

Aaron Johnson; Paul Holmes; Lewis Craske; Marcello Trovati; Nik Bessis; Peter Larcombe 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing, 2015

The Patient Health Questionnaire (PHQ-9) is the depression module, which provides a score correlating to each of the Depression Severity Measure (DSM- IV) criteria, whose output is a total score suggesting which category of depression a patient slots into. In this paper we propose a novel method to potentially improve the current system in place for health professionals in diagnosing ...


Notice of Retraction<BR>New undergraduate college students common psychological problems and intervention strategies

Xu Ya-ping; Li Wen-zhong Proceedings of 2011 International Conference on Electronic & Mechanical Engineering and Information Technology, 2011

Notice of Retraction After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles. We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper. The presenting author of this paper ...


Artificial intelligence in psychiatry: issues and questions

R. Morelli Images of the Twenty-First Century. Proceedings of the Annual International Engineering in Medicine and Biology Society,, 1989

Several recent research prototypes and applications are discussed with the goal of identifying key issues and open questions for further research and discussion. Special opportunities and challenges presented by the psychiatric domain are identified, and an attempt is made to relate artificial intelligence issues in the psychiatric domain with current trends in other domains. The author maintains that one of ...


Tree Mining in Mental Health Domain

Maja Hadzic; Fedja Hadzic; Tharam Dillon Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008), 2008

The number of mentally ill people is increasing globally each year. Despite major medical advances, the identification of genetic and environmental factors responsible for mental illnesses still remains unsolved and is therefore a very active research focus today. Semi-structured data structure is predominantly used to enable the meaningful representations of the available mental health knowledge. Data mining techniques can be ...


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IEEE-USA E-Books

  • Epilogue

    Crucial to understanding how the brain works is connectivity, and the centerpiece of brain connectivity is the connectome, a comprehensive description of how neurons and brain regions are connected. The human brain is a network of extraordinary complexity--a network not by way of metaphor, but in a precise and mathematical sense: an intricate web of billions of neurons connected by trillions of synapses. How this network is connected is important for virtually all facets of the brain's integrative function. In this book, Olaf Sporns surveys current efforts to chart these connections--to map the human connectome. Sporns, a pioneer in the field who was the first to define and use the term "connectome," argues that the nascent field of connectomics has already begun to influence the way many neuroscientists collect, analyze, and think about their data. Moreover, the idea of mapping the connections of the human brain in their entirety has captured the imaginations of researchers across several disciplines including human cognition, brain and mental disorders, and complex systems and networks. Sporns describes the biological and conceptual foundations of the connectome; the many research challenges it faces; the many cutting-edge empirical strategies, from electron microscopy to magnetic resonance imaging, deployed to map brain connectivity; the relationship between structure and function; and the wide array of network computational approaches to connectomics. Discovering the Human Connectome offers the first comprehensive overview of current empirical and computational approaches in this rapidly developing field.

  • Index

    Crucial to understanding how the brain works is connectivity, and the centerpiece of brain connectivity is the connectome, a comprehensive description of how neurons and brain regions are connected. The human brain is a network of extraordinary complexity--a network not by way of metaphor, but in a precise and mathematical sense: an intricate web of billions of neurons connected by trillions of synapses. How this network is connected is important for virtually all facets of the brain's integrative function. In this book, Olaf Sporns surveys current efforts to chart these connections--to map the human connectome. Sporns, a pioneer in the field who was the first to define and use the term "connectome," argues that the nascent field of connectomics has already begun to influence the way many neuroscientists collect, analyze, and think about their data. Moreover, the idea of mapping the connections of the human brain in their entirety has captured the imaginations of researchers across several disciplines including human cognition, brain and mental disorders, and complex systems and networks. Sporns describes the biological and conceptual foundations of the connectome; the many research challenges it faces; the many cutting-edge empirical strategies, from electron microscopy to magnetic resonance imaging, deployed to map brain connectivity; the relationship between structure and function; and the wide array of network computational approaches to connectomics. Discovering the Human Connectome offers the first comprehensive overview of current empirical and computational approaches in this rapidly developing field.

  • Color Plates

    Crucial to understanding how the brain works is connectivity, and the centerpiece of brain connectivity is the connectome, a comprehensive description of how neurons and brain regions are connected. The human brain is a network of extraordinary complexity--a network not by way of metaphor, but in a precise and mathematical sense: an intricate web of billions of neurons connected by trillions of synapses. How this network is connected is important for virtually all facets of the brain's integrative function. In this book, Olaf Sporns surveys current efforts to chart these connections--to map the human connectome. Sporns, a pioneer in the field who was the first to define and use the term "connectome," argues that the nascent field of connectomics has already begun to influence the way many neuroscientists collect, analyze, and think about their data. Moreover, the idea of mapping the connections of the human brain in their entirety has captured the imaginations of researchers across several disciplines including human cognition, brain and mental disorders, and complex systems and networks. Sporns describes the biological and conceptual foundations of the connectome; the many research challenges it faces; the many cutting-edge empirical strategies, from electron microscopy to magnetic resonance imaging, deployed to map brain connectivity; the relationship between structure and function; and the wide array of network computational approaches to connectomics. Discovering the Human Connectome offers the first comprehensive overview of current empirical and computational approaches in this rapidly developing field.

  • References

    Crucial to understanding how the brain works is connectivity, and the centerpiece of brain connectivity is the connectome, a comprehensive description of how neurons and brain regions are connected. The human brain is a network of extraordinary complexity--a network not by way of metaphor, but in a precise and mathematical sense: an intricate web of billions of neurons connected by trillions of synapses. How this network is connected is important for virtually all facets of the brain's integrative function. In this book, Olaf Sporns surveys current efforts to chart these connections--to map the human connectome. Sporns, a pioneer in the field who was the first to define and use the term "connectome," argues that the nascent field of connectomics has already begun to influence the way many neuroscientists collect, analyze, and think about their data. Moreover, the idea of mapping the connections of the human brain in their entirety has captured the imaginations of researchers across several disciplines including human cognition, brain and mental disorders, and complex systems and networks. Sporns describes the biological and conceptual foundations of the connectome; the many research challenges it faces; the many cutting-edge empirical strategies, from electron microscopy to magnetic resonance imaging, deployed to map brain connectivity; the relationship between structure and function; and the wide array of network computational approaches to connectomics. Discovering the Human Connectome offers the first comprehensive overview of current empirical and computational approaches in this rapidly developing field.

  • The Use of Virtual Reality Technology in the Treatment of Anxiety Disorders

    Approximately 23 million Americans will suffer from an anxiety disorder some time during their life. Anxiety disorders are the most common mental disorders in the United States, the fifth most common diagnosis given to those seen by primary care physicians, and the number one psychiatric diagnosis made by primary-care physicians. All anxiety disorders have two common characteristics. First, patients with these disorders usually experience apprehension, worry, and anxiety more intensely and for a longer period of time than the anxiety experienced by the average person in everyday life. Second, patients often develop ritual acts, repetitive thoughts, or avoidance mechanisms as a way to protect themselves from the anxiety. Anxiety disorders are categorized according to the presence or absence of external stimuli, the cause of the disorder, and the nature of the symptoms. Each major anxiety disorder category is described here and current treatment modalities are evaluated. When viewing mental health disorders and statistics, it is important to remember that incidence refers to the number of new cases in a specific time period, whereas prevalence refers to the total number of cases at a given time. For instance, lifetime prevalence would mean that a person had the disorder at some point in his or her life but may not have had it at the time of the survey described. Initial VR studies have shown VR technology to be effective for the treatment of many anxiety disorders. Issues that clinicians should think about when considering this treatment are discussed.



Standards related to Mental disorders

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No standards are currently tagged "Mental disorders"


Jobs related to Mental disorders

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