Using logistic regression for assessing the probability of serious postoperative complications after colorectal operations in geriatric patients

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F17%3A10238403" target="_blank" >RIV/61989100:27240/17:10238403 - isvavai.cz</a>

Výsledek na webu

<a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8024298" target="_blank" >http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=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>

Jazyk výsledku

angličtina

Název v původním jazyce

Using logistic regression for assessing the probability of serious postoperative complications after colorectal operations in geriatric patients

Popis výsledku v původním jazyce

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. © 2017 IEEE.

Název v anglickém jazyce

Using logistic regression for assessing the probability of serious postoperative complications after colorectal operations in geriatric patients

Popis výsledku anglicky

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. © 2017 IEEE.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10103 - Statistics and probability

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the International Conference on Information and Digital Technologies, IDT 2017

ISBN

978-1-5090-5688-0

ISSN

—

e-ISSN

neuvedeno

Počet stran výsledku

6

Strana od-do

206-211

Název nakladatele

IEEE

Místo vydání

Piscataway

Místo konání akce

Žilina

Datum konání akce

5. 7. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000426916900034