Conferences related to Mental Illness

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2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


2020 IEEE International Conference on Robotics and Automation (ICRA)

The International Conference on Robotics and Automation (ICRA) is the IEEE Robotics and Automation Society’s biggest conference and one of the leading international forums for robotics researchers to present their work.


2020 IEEE International Symposium on Circuits and Systems (ISCAS)

The International Symposium on Circuits and Systems (ISCAS) is the flagship conference of the IEEE Circuits and Systems (CAS) Society and the world’s premier networking and exchange forum for researchers in the highly active fields of theory, design and implementation of circuits and systems. ISCAS2020 focuses on the deployment of CASS knowledge towards Society Grand Challenges and highlights the strong foundation in methodology and the integration of multidisciplinary approaches which are the distinctive features of CAS contributions. The worldwide CAS community is exploiting such CASS knowledge to change the way in which devices and circuits are understood, optimized, and leveraged in a variety of systems and applications.


2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

One of the flagship conferences for the IEEE Robotics and Automation Society (RAS)


2019 Federated Conference on Computer Science and Information Systems (FedCSIS)

The mission of the FedCSIS Conference Series is to provide a highly acclaimed multi-conference forum in computer science and information systems. The forum invites researchers from around the world to contribute their research results and participate in Events focused on their scientific and professional interests in computer science and information systems.The FedCSIS multi-conference consists of a significant number of recurring Events and it welcomes proposals for new Events (conferences, symposia, workshops, special sessions). Each Event may run over any span of time within the conference dates (from half-day to three days). Since 2012, Proceedings of the FedCSIS conference are indexed in the Web of Science and other indexing services.

  • 2018 Federated Conference on Computer Science and Information Systems (FedCSIS)

    The mission of the FedCSIS Conference Series is to provide a highly acclaimed multi-conference forum in computer science and information systems. The forum invites researchers from around the world to contribute their research results and participate in Events focused on their scientific and professional interests in computer science and information systems.The FedCSIS multi-conference consists of a significant number of recurring Events and it welcomes proposals for new Events (conferences, symposia, workshops, special sessions). Each Event may run over any span of time within the conference dates (from half-day to three days). Since 2012, Proceedings of the FedCSIS conference are indexed in the Web of Science and other indexing services.

  • 2017 Federated Conference on Computer Science and Information Systems (FedCSIS)

    The FedCSIS Multiconference consists of Events (conferences, symposia, workshops, special sessions). Each Event may run over any span of time within the conference dates (from half-day to three days). The FedCSIS Events provide a platform for bringing together researchers, practitioners, and academia to present and discuss ideas, challenges and potential solutions on established or emerging topics related to research and practice in computer science and information systems. Since 2012, Proceedings of the FedCSIS conference are indexed in the Thomson Reuters Web of Science.

  • 2016 Federated Conference on Computer Science and Information Systems (FedCSIS)

    The FedCSIS Multiconference consists of Events (conferences, symposia, workshops, special sessions). Each Event may run over any span of time within the conference dates (from half-day to three days). The FedCSIS Events provide a platform for bringing together researchers, practitioners, and academia to present and discuss ideas, challenges and potential solutions on established or emerging topics related to research and practice in computer science and information systems. Since 2012, Proceedings of the FedCSIS conference are indexed in the Thomson Reuters Web of Science.

  • 2015 Federated Conference on Computer Science and Information Systems (FedCSIS)

    The FedCSIS Multiconference consists of Events (conferences, symposia, workshops, special sessions). Each Event may run over any span of time within the conference dates (from half-day to three days). The FedCSIS Events provide a platform for bringing together researchers, practitioners, and academia to present and discuss ideas, challenges and potential solutions on established or emerging topics related to research and practice in computer science and information systems.

  • 2014 Federated Conference on Computer Science and Information Systems (FedCSIS)

    The FedCSIS Multiconference consists of Events (conferences, symposia, workshops, special sessions). Each Event may run over any span of time within the conference dates (from half-day to three days). The FedCSIS Events provide a platform for bringing together researchers, practitioners, and academia to present and discuss ideas, challenges and potential solutions on established or emerging topics related to research and practice in computer science and information systems.

  • 2013 Federated Conference on Computer Science and Information Systems (FedCSIS)

    FedCSIS Multiconference consists of Events (conferences, symposia, workshops, special sessions) that provide a platform for bringing together researchers, practitioners, and academia to present and discuss ideas, challenges and potential solutions on topics related to research and practice in CS/IS.

  • 2012 Federated Conference on Computer Science and Information Systems (FedCSIS)

    Continuation of FedCSIS 2011, scope depends on the scopes of individual events that FedCSIS consists of.

  • 2011 Federated Conference on Computer Science and Information Systems (FedCSIS)


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Periodicals related to Mental Illness

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Computer

Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.


Control Systems Technology, IEEE Transactions on

Serves as a compendium for papers on the technological advances in control engineering and as an archival publication which will bridge the gap between theory and practice. Papers will highlight the latest knowledge, exploratory developments, and practical applications in all aspects of the technology needed to implement control systems from analysis and design through simulation and hardware.


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.


Nanobioscience, IEEE Transactions on

Basic and applied papers dealing both with engineering, physics, chemistry, and computer science and with biology and medicine with respect to bio-molecules and cells. The content of acceptable papers ranges from practical/clinical/environmental applications to formalized mathematical theory. TAB #73-June 2001. (Original name-IEEE Transactions on Molecular Cellular and Tissue Engineering). T-NB publishes basic and applied research papers dealing with the study ...


Sensors Journal, IEEE

The Field of Interest of the IEEE Sensors Journal is the science and applications of sensing phenomena, including theory, design, and application of devices for sensing and transducing physical, chemical, and biological phenomena. The emphasis is on the electronics, physics, biology, and intelligence aspects of sensors and integrated sensor-actuators. (IEEE Guide for Authors) (The fields of interest of the IEEE ...


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Most published Xplore authors for Mental Illness

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Xplore Articles related to Mental Illness

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Mobile guiding and tracking services in public transit system for people with mental illness

TENCON 2009 - 2009 IEEE Region 10 Conference, 2009

Assistive technology so far has been focusing on promoting greater independence for people with disabilities by enabling them to perform tasks on a personal basis. For certain areas such as cognitive deficits, requirements for dual interface development must address the needs of target users as well as their caregivers. In this paper, we provide a location-based guiding and tracking service ...


Detecting and Treating Mental Illness on Social Networks

2017 IEEE International Conference on Healthcare Informatics (ICHI), 2017

Mental illness is becoming a serious global health problem worldwide, with a growing number of patients suffering from depression, anxiety and other disorders. New solutions are needed to tackle this issue. The main goal of this research project is to develop prediction models to classify users with poor mental health from social network data and then implement an intervention model ...


A framework for overcoming challenges in designing persuasive monitoring and feedback systems for mental illness

2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops, 2011

Persuasive personal monitoring and feedback systems could help patients and clinicians manage mental illness. Mental illness is complex, difficult to treat, and carries social stigma. From a review of literature on bipolar disorder and interviews with bipolar disorder experts, we developed a framework for designing a persuasive monitoring system to support management of the illness. The framework applies a user-centered ...


Medication adherence for patients with mental illness

2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Medication adherence has been studied for some time; however most research has focused on able-bodied patients or the elderly living independently. What has not been studied nearly as much is medication adherence for people with psychiatric or mental illnesses. In this paper, we present a framework that includes the specific challenges in medication adherence for patients with mental illness, algorithms ...


From lightweight ontology to mental illness indication

2015 IEEE 13th International Scientific Conference on Informatics, 2015

Mosaic of research, applications and case studies, starting with natural language text processing, automated domain building, sentiment analysis, document similarities, and ending with indication of mental illness based on self-essay analysis, is given in an overview of this extended abstract of the invited paper.


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Educational Resources on Mental Illness

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IEEE-USA E-Books

  • Mobile guiding and tracking services in public transit system for people with mental illness

    Assistive technology so far has been focusing on promoting greater independence for people with disabilities by enabling them to perform tasks on a personal basis. For certain areas such as cognitive deficits, requirements for dual interface development must address the needs of target users as well as their caregivers. In this paper, we provide a location-based guiding and tracking service for people with mental illness in public transit system to help them travel from home to their workplace independently. Meanwhile their caregivers can monitor them in a nomadic or static way. Due to the lack of line-of-sight GPS signal in the area of underground mass rapid transit system, the WiFi signals are adopted for user locating. This service is implemented in collaboration with a supported employment program set up for people with severe mental illness.

  • Detecting and Treating Mental Illness on Social Networks

    Mental illness is becoming a serious global health problem worldwide, with a growing number of patients suffering from depression, anxiety and other disorders. New solutions are needed to tackle this issue. The main goal of this research project is to develop prediction models to classify users with poor mental health from social network data and then implement an intervention model to help these users.

  • A framework for overcoming challenges in designing persuasive monitoring and feedback systems for mental illness

    Persuasive personal monitoring and feedback systems could help patients and clinicians manage mental illness. Mental illness is complex, difficult to treat, and carries social stigma. From a review of literature on bipolar disorder and interviews with bipolar disorder experts, we developed a framework for designing a persuasive monitoring system to support management of the illness. The framework applies a user-centered design process that is especially sensitive to the complexity of the illness, the difficulty of treatment, its stigma, and the goals of patients and clinicians. We describe our application of this framework to designing a persuasive mobile phone monitoring system. We discuss how our use of the framework can help overcome the special challenges posed by designing systems for mental illness: (1) accommodating a complex array of symptoms, (2) supporting an uncertain treatment process, and (3) maintaining a high level of sensitivity to the seriousness and darkness of the illness, as well as the social stigma associated with it.

  • Medication adherence for patients with mental illness

    Medication adherence has been studied for some time; however most research has focused on able-bodied patients or the elderly living independently. What has not been studied nearly as much is medication adherence for people with psychiatric or mental illnesses. In this paper, we present a framework that includes the specific challenges in medication adherence for patients with mental illness, algorithms and protocols for evaluating adherence, and some on-going work in developing effective solutions. The architectural framework and associated algorithms leverage the context-aware computing capabilities available on many mobile devices. The system is designed to be able to collect and offer situation-aware information on medication use and adherence for healthcare professionals and other designated persons.

  • From lightweight ontology to mental illness indication

    Mosaic of research, applications and case studies, starting with natural language text processing, automated domain building, sentiment analysis, document similarities, and ending with indication of mental illness based on self-essay analysis, is given in an overview of this extended abstract of the invited paper.

  • Facial Stereotypes and Perceived Mental Illness

    It is well established that we carry stereotypes that impact on human perception and behaviour (e.g. G.W. Allport, "The nature of prejudice". Reading, MA: Addison-Wesley, 1954). Here, we investigate the possibility that we hold a stereotype for a face indicating that its owner may have a mental illness. A three-stage face-perception experiment suggested the presence of such a stereotype. Participants first rated 200 synthetic male faces from the EvoFIT facial-composite system for perceived mental illness (PMI). These faces were used to create a computer-based rating scale that was used by a second sample of participants to make a set of faces appear mentally ill. There was evidence to suggest that the faces that participants identified using the PMI scale differed along this dimension (although not entirely as expected). In the final stage of the study, another set of synthetic faces were created by artificially increasing and decreasing levels along the scale. Participants were asked to rate these items for PMI and for six criminal types. It was found that participants assigned higher PMI ratings (cf. veridical) for items with inflated PMI (although there was no reliable difference in ratings between veridical faces and faces with decreased PMI). Implications of the findings are discussed.

  • MIDAS: Mental illness detection and analysis via social media

    Mental illnesses rank as some of the most disabling conditions, affecting millions of people, across the globe. In general, the main challenge of mental disorders is that they remain difficult to detect on suffering patients. In an online environment, the challenge extends to the collection of patients data and the implementation of proper algorithms to assist in the detection of such illnesses. In this paper, we propose a novel data collection mechanism and build predictive models that leverage language and behavioral patterns, used particularly on Twitter, to determine whether a user is suffering from a mental disorder. After training the predictive models, they are further pre- trained to serve as the backend for our demonstration, MIDAS. MIDAS offers an analytics web-service to explore several characteristics pertaining to user's linguistic and behavioral patterns on social media, with respect to mental illnesses.

  • Using the brain's fight-or-flight response for predicting mental illness on the human space flight program

    A predictive medicine program allows disease and illness including mental illness to be predicted using tools created to identify the presence of accelerated aging (a.k.a. disease) in electrical and mechanical equipment. When illness and disease can be predicted, actions can be taken so that the illness and disease can be prevented and eliminated. A predictive medicine program uses the same tools and practices from a prognostic and health management program to process biological and engineering diagnostic data provided in analog telemetry during prelaunch readiness and space exploration missions. The biological and engineering diagnostic data necessary to predict illness and disease is collected from the pre-launch spaceflight readiness activities and during space flight for the ground crew to perform a prognostic analysis on the results from a diagnostic analysis. The diagnostic, biological data provided in telemetry is converted to prognostic (predictive) data using the predictive algorithms. Predictive algorithms demodulate telemetry behavior. They illustrate the presence of accelerated aging/disease in normal appearing systems that function normally. Mental illness can predicted using biological diagnostic measurements provided in CCSDS telemetry from a spacecraft such as the ISS or from a manned spacecraft in deep space. The measurements used to predict mental illness include biological and engineering data from an astronaut's circadian and ultranian rhythms. This data originates deep in the brain that is also damaged from the long-term exposure to cortisol and adrenaline anytime the body's fight or flight response is activated. This paper defines the brain's FOFR; the diagnostic, biological and engineering measurements needed to predict mental illness, identifies the predictive algorithms necessary to process the behavior in CCSDS analog telemetry to predict and thus prevent mental illness from occurring on human spaceflight missions.

  • The Relationship between Cyber Crime and Mental Illness

    In this paper an attempt is made to describe the relationship between cyber crime and mental illness. It will create awareness among people about cyber crimes and criminality due to mental illness. Computers and the internet make many actions easier for us. They also make many unlawful activities easier for criminals such as the sharing of, copy right infringement, stock manipulation, child pornography and a range of scams. In order to understand the criminal activity it is important to understand the main factor behind the criminal activity for e.g. mental illness.

  • The MONARCA self-assessment system: Persuasive personal monitoring for bipolar patients

    An increasing number of persuasive personal healthcare monitoring systems are being researched, designed and tested, many of them being based on Smartphone technology. These systems could help patients and clinicians monitor and manage mental illness. Mental illness is complex, difficult to treat, and carries social stigma. We describe our setup to support the treatment of bipolar patients using a persuasive mobile phone monitoring system and a web portal.



Standards related to Mental Illness

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No standards are currently tagged "Mental Illness"


Jobs related to Mental Illness

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