External validation study of endometrial cancer preoperative risk stratification model (ENDORISK)
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F65269705%3A_____%2F22%3A00076243" target="_blank" >RIV/65269705:_____/22:00076243 - isvavai.cz</a>
Alternative codes found
RIV/00216224:14110/22:00126395
Result on the web
<a href="https://www.frontiersin.org/articles/10.3389/fonc.2022.939226/full" target="_blank" >https://www.frontiersin.org/articles/10.3389/fonc.2022.939226/full</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3389/fonc.2022.939226" target="_blank" >10.3389/fonc.2022.939226</a>
Alternative languages
Result language
angličtina
Original language name
External validation study of endometrial cancer preoperative risk stratification model (ENDORISK)
Original language description
Among industrialized countries, endometrial cancer is a common malignancy with generally an excellent outcome. To personalize medicine, we ideally compile as much information as possible concerning patient prognosis prior to effecting an appropriate treatment decision. Endometrial cancer preoperative risk stratification (ENDORISK) is a machine learning-based computational Bayesian networks model that predicts lymph node metastasis and 5-year disease-specific survival potential with percentual probability. Our objective included validating ENDORISK effectiveness in our patient cohort, assessing its application in the current use of sentinel node biopsy, and verifying its accuracy in advanced stages.
Czech name
—
Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
30204 - Oncology
Result continuities
Project
<a href="/en/project/NU21-09-00031" target="_blank" >NU21-09-00031: Development of new effective strategy to identify high-risk women for endometrial cancer</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Frontiers in Oncology
ISSN
2234-943X
e-ISSN
2234-943X
Volume of the periodical
12
Issue of the periodical within the volume
Aug
Country of publishing house
CH - SWITZERLAND
Number of pages
10
Pages from-to
939226
UT code for WoS article
000841408200001
EID of the result in the Scopus database
2-s2.0-85136217059