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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5...21 Hits 1 – 20 of 411 1 42.2 AMYGDALA PERFUSION IS ASSOCIATED WITH AUDITORY VERBAL HALLUCINATIONS WITH EMOTIONAL CONTENT IN SCHIZOPHRENIA PATIENTS Stegmayer, Katharina; Walther, Sebastian. - : Oxford University Press, 2019 BASE Show details 2 24. ANALYSIS OF LANGUAGE IN SCHIZOPHRENIA de Boer, Janna. - : Oxford University Press, 2019 BASE Show details 3 24.2 NATURAL LANGUAGE PROCESSING STUDIES OF PSYCHOSIS AND ITS RISK STATES Cecchi, Guillermo; Gutierrez, Elkin; Corcoran, Cheryl. - : Oxford University Press, 2019 BASE Show details 4 24.3 EARLY MARKERS OF THOUGHT DISORGANIZATION IN SPEECH STRUCTURE Mota, Natália; Copelli, Mauro; Ribeiro, Sidarta. - : Oxford University Press, 2019 BASE Show details 5 24.4 MOVING SPEECH TECHNOLOGY METHODS OUT OF THE LABORATORY: PRACTICAL CHALLENGES AND CLINICAL TRANSLATION OPPORTUNITIES FOR PSYCHIATRY Holmlund, Terje; Foltz, Peter W; Cohen, Alex S; Cheng, Jian; Bernstein, Jared; Rosenfeld, Elizabeth; Elvevåg, Brita. - : Oxford University Press, 2019 Abstract: BACKGROUND: Psychiatric patients, such as those suffering from depression or schizophrenia, often need to be monitored with frequent clinical interviews by trained professionals so as to avoid costly emergency care and unfortunate events (e.g., suicide attempts). Technological advances in the form of smart devices offer a mobile platform through which to provide the effective and affordable monitoring of clinical events. Novel speech technologies offer promise of increased efficiency, sensitivity and objectivity by the implementation of automatic speech recognition and natural language processing methods to facilitate in the tracking of the clinical state of psychiatric outpatients longitudinally and, when appropriate, alerting clinical staff to contact that patient. However, thus far most research that has leveraged such technology has been conducted within controlled laboratory or clinical environments, and as such it remains unknown how robust such methods would be when the data collection is in uncontrolled settings and controlled by the participants themselves. Yet if these methods are to truly have clinical translation value then they must be demonstrated to be user-engineered to nurture participation and to be tolerated by participants despite frequent use, and that the resulting behavioral responses - notably voice - that are collected in uncontrolled settings remain interpretable by speech recognition and natural language processing methods. METHODS: We developed a mobile tool that enabled participants to remotely self-administer daily interactions through a smart device. The application engaged participants in spoken and touch-based interactions to assess cognition, motor skill, and language. The speech samples were analyzed using recent technological advances in speech and language processing to recognize both the content and patterns in the speech. Our study was conducted in both the United States and in Norway, and thus occurred within different languages as well as cultural and legal settings. A total of 353 participants used the software application over three data collection trials. Of these, 219 were healthy volunteers and 134 were patients with a range of diagnoses of psychosis spectrum disorders, substance abuse disorders, and affective disorders. RESULTS: This talk will explore our experience of leveraging technological advances to move assessment of cognition, motor skill, and language out of the controlled laboratory and into real-world settings. We will discuss the necessity of excellent usability engineering, and the complex data security issues that arise with speech specifically, especially when data collection and analysis can - either intentionally or unintentionally - cross international borders. We will also illustrate the challenges of creating a clinically useful analytic framework for the numerous channels of data that now have the added temporal dimension. CONCLUSIONS: In sum, although new technological frameworks - that leverage speech technology and natural language processing methods - provide unprecedented opportunities for remotely monitoring behavior, the challenge of creating a useful analytic framework for clinical purposes remains. Keyword: Plenary/Symposia URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6455399/ https://doi.org/10.1093/schbul/sbz022.099 BASE Hide details 6 [J.E.C.V. (Johan) Rooryck Giving Lecture at Conference] ; 3967: Open Access Symposium, 2016 Clark, Junebug. - 2016 BASE Show details 7 [Portrait of Johan Rooryck] ; 3967: Open Access Symposium, 2016 Clark, Junebug. - 2016 BASE Show details 8 [Portrait of Johan Rooryck] ; 3967: Open Access Symposium, 2016 Clark, Junebug. - 2016 BASE Show details 9 [J.E.C.V. (Johan) Rooryck Giving Lecture at Conference] ; 3967: Open Access Symposium, 2016 Clark, Junebug. - 2016 BASE Show details 10 Lexical Link Analysis Application: Improving Web Service to Acquisition Visibility Portal Zhao, Ying; MacKinnon, Douglas J; Gallup, Shelley P In: DTIC (2014) BASE Show details 11 Breast Cancer Epidemiology in Puerto Rico Nazario, Cruz; Freudenheim, Jo In: DTIC (2014) BASE Show details 12 Biological Information Processing in Single Microtubules Bandyopadhyay, Anirban In: DTIC (2014) BASE Show details 13 Invited Speaker Support for SBP Conference Series (SBP 2014) held in April, 2014 in Washington, DC. Liu, Huan; Cioffi-Revilla,Claudio. - 2014 BASE Show details 14 Controlled English for Effective Communication during Coalition Operations Poteet, Stephen; Xue, Ping; Kao, Anne... In: DTIC (2013) BASE Show details 15 Using a Bayesian Model to Combine LDA Features with Crowdsourced Responses Simpson, Edwin; Reece, Steven; Penta, Antonio... In: DTIC (2013) BASE Show details 16 Building on Deep Learning Pickett, Marc In: DTIC (2013) BASE Show details 17 Using Target Network Modelling to Increase Battlespace Agility Mitchell, William In: DTIC (2013) BASE Show details 18 Visualization of Decision Processes Using a Cognitive Architecture Livingston, Mark A; Murugesan, Arthi; Brock, Derek... In: DTIC (2013) BASE Show details 19 Enabling Efficient Intelligence Analysis in Degraded Environments Lecocq, Regine; Lavigne, Valerie In: DTIC (2013) BASE Show details 20 An Approach Using MIP Products for the Development of the Coalition Battle Management Language Standard Heffner, Kevin; Bau, Nico; Gerz, Michael In: DTIC (2013) BASE Show details Page: 1 2 3 4 5...21

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