In Phase I, multiple scoring algorithms were developed trained and tested, demonstrating accuracy approaching that of human experts.In Phase II, we plan to further improve the COPTADS system, significantly improving its accuracy and scalability.Significant functionality enhancements will allow users (clinicians) to execute temporal queries and monitor trends of individual patients and patient groups, as well as observe their responses to various therapies. Recent studies indicate that not all cases of PTSD, depression, and contemplations of suicide are identified using mental health assessments given to soldiers following deployment.Building on its extensive pre-existing natural language processing and text analytics portfolio, Sentimetrix has developed the COPTADS (Clinical Online PTSD and TBI Analysis and Decision System) to automatically analyze the content of text documents for signals of PTSD or TBI. Among troops still in the military, experts estimate that one in five has experienced acute stress, anxiety, depression, or other mental health issues as a result of war-zone deployment.
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In the last year alone, over 400,000 military veterans have been diagnosed with PTSD. Free and open company data on Massachusetts (US) company KAGAN CAPITAL G.P. Kagan has multiple publications on applications on Big Data analytics and machine learning applications to real-world problems, including a book on using sentiment analysis for PTSD detection.It is estimated that 20 percent of returning forces from the Iraq and Afghanistan wars are afflicted with PTSD or major depression. Kagan holds a MS degree in Computer Science from the University of Maryland in College Park. Kagan worked as a programmer-analyst for for Westat, the leading provider of survey services to the US government agencies. Kagan held multiple positions focusing on technology development and management and let teams ranging in size from 10 to 50 engineers, focusing on data analysis and categorization. Kagan worked for over 11 years for America Online (AOL), where he started as the second member of the search technology team. Kagan lead the team that developed technology to calculate, based on analysis of textual documents, such as blog and forum posts or free-form survey responses, the likelihood that the author of the text may be displaying signs of Post-Traumatic Stress Disorder or mild Traumatic Brain Injury. In his role as the PM and Tech Lead for the COPTADS project funded by TATRC, Mr. The technology was also successfully applied to tracking and forecasting the spread of the Ebola epidemic. Kagan oversaw the development of technology to forecast country stability and degree of violence of public protests based on data from open sources and social media. Find the top performing real estate agent in your city.
A bot detection system that was developed as part of the project helped SentiMetrix team to become the winner of the DARPA Bot Challenge. Here is the definitive list of the best real estate agents in Florida based on recent home sales data. Kagan led a consortium that included teams from Stanford, RPI and several other companies in developing technology for tracking and forecasting spread of memes and opinions in social networks. As a PM on DARPA SMISC – study of information diffusion in social networks – Mr. From 1968 to 1980, he was a soloist with. Mazo studied at the Byelorussian State Conservatory in Minsk with Michael Goldstein, a student of Pyotr Stoliasky. Presently he is an Associate Professor of Violin and Viola at Illinois Wesleyan University.
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Their license was verified as active when we last checked. Their BuildZoom score of 100 ranks in the top 13 of 139,240 Massachusetts licensed contractors. Kagan spearheaded company’s efforts on several projects funded by the US government agencies. Vadim Mazo has pursued a career as a teacher, soloist, chamber musician, and conductor. Vadim Kagan, 250 Boylston St, Chestnut Hill, MA holds a Home Improvement Contractor license and 2 other licenses according to the Massachusetts license board. Kagan is the president and a co-founder of SentiMetrix, He oversees the day-to-day operations of the company and the development of its technology stack, Mr. He has a long record of bringing to the industry the latest research results in data mining, unstructured data categorization and classification and natural language processing by incorporating them into robust applications on the Internet scale. Kagan has over 20 years of experience in the information technology, guiding conceptual research, design, development and maintenance of large-scale applications and systems software.
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