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Survival Modeling of Disease Consequences and Post-disease Syndromes

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F24%3A00583920" target="_blank" >RIV/67985556:_____/24:00583920 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007/978-981-97-1335-6_32" target="_blank" >https://link.springer.com/chapter/10.1007/978-981-97-1335-6_32</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-981-97-1335-6_32" target="_blank" >10.1007/978-981-97-1335-6_32</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Survival Modeling of Disease Consequences and Post-disease Syndromes

  • Original language description

    We present a survival model for human maladies, which leave victims with permanent health damages requiring life-long medical observation and treatment. The model allows national health authorities to prepare sufficient medical specialists with adequate capacity in specialized clinics, vaccinations, spas, or rehabilitation facilities. We test the model on Czech Polio (Poliomyelitis Anterior Acuta) victims' data. COVID-19 or Long Covid-19 and the treatment of their wide range of ongoing health problems, where these conditions can last weeks, months, or years, can benefit from Polio and COVID-19 RNA virus similarities.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20205 - Automation and control systems

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2024

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023)

  • ISBN

    978-981-97-1334-9

  • ISSN

    1876-1100

  • e-ISSN

    1876-1119

  • Number of pages

    10

  • Pages from-to

    365-374

  • Publisher name

    Springer Nature Singapore

  • Place of publication

    Singapore

  • Event location

    Cambridge

  • Event date

    Dec 9, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article