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Predicting Relapse in Schizophrenia Using Communication Technology and Pattern Recognition Techniques

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F07%3A03132051" target="_blank" >RIV/68407700:21230/07:03132051 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Predicting Relapse in Schizophrenia Using Communication Technology and Pattern Recognition Techniques

  • Original language description

    The patients with psychotic diseases, especially with schizophrenia diagnosis have one of the highest relapse rates characterized by long-stay hospitalization. The system ITAREPS (Information Technology Aided Relapse Prevention in Schizophrenia) has beendeveloped for rapid and targeted recognition of early warning signs of psychotic disorder relapse. It employs modern communication and information technology for timely intervention during initial phase of relapse. There was a large decrease in the number of hospitalizations within the cooperating participants of the ITAREPS system. Efficiency, benefits and problems of the ITAREPS system is discussed. Consequently, suggestions for more sophisticated relapse prediction are introduced.

  • Czech name

    Není k dispozici

  • Czech description

    Není k dispozici

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2007

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Trendy v biomedicínském inženýrství

  • ISBN

    978-80-01-03777-5

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    255-258

  • Publisher name

    ČVUT v Praze, Fakulta biomedicínského inženýrství

  • Place of publication

    Praha

  • Event location

    Kladno

  • Event date

    Sep 11, 2007

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article