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Using Logistic Regression for Assessing the Probability of Serious Postoperative Complications after Colorectal Operations in Geriatric Patients

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11130%2F17%3A10373917" target="_blank" >RIV/00216208:11130/17:10373917 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1109/DT.2017.8024298" target="_blank" >https://doi.org/10.1109/DT.2017.8024298</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/DT.2017.8024298" target="_blank" >10.1109/DT.2017.8024298</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Using Logistic Regression for Assessing the Probability of Serious Postoperative Complications after Colorectal Operations in Geriatric Patients

  • Original language description

    This paper focuses on an analysis of data from elderly patients (aged 65 and older) who underwent an elective operation of colon or rectum in the years 2001-2009 at the Department of Surgery of the University Hospital Ostrava. The main purpose is to determine the main risk factors leading to serious postoperative complications or even death in consequence of the operation. Our results will serve as a foundation for creating a reliable predictor model that will assess the overall health of the patients and the potential benefits (and risk) of the operation, leading to a reduction in incidence of serious postoperative complications of the operation and an improvement in the quality of life for the seniors. For the primary analysis we used the logistic regression methodology.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    30212 - Surgery

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2017

  • 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 the International Conference on Information and Digital Technologies, IDT 2017

  • ISBN

    978-1-5090-5689-7

  • ISSN

  • e-ISSN

    neuvedeno

  • Number of pages

    6

  • Pages from-to

    206-211

  • Publisher name

    IEEE

  • Place of publication

    New York

  • Event location

    Žilina

  • Event date

    Jul 5, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000426916900034