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%2F61989100%3A27240%2F17%3A10238403" target="_blank" >RIV/61989100:27240/17:10238403 - isvavai.cz</a>
Result on the web
<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>
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. © 2017 IEEE.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
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
978-1-5090-5688-0
ISSN
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e-ISSN
neuvedeno
Number of pages
6
Pages from-to
206-211
Publisher name
IEEE
Place of publication
Piscataway
Event location
Žilina
Event date
Jul 5, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000426916900034