About: Ovarian cancer prediction in adnexal masses using ultrasound-based logistic regression models: a temporal and external validation study by the IOTA group

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	The study was prospectively tested in two logistic regression models in the precision of the risk of malignant ovarian tumors and compared with the precision of an experienced sonographer in the diagnosis of malignant ovarian tumors. Due to the high accuracy of both models can be potentially used in clinical practice. The study was prospectively tested in two logistic regression models in the precision of the risk of malignant ovarian tumors and compared with the precision of an experienced sonographer in the diagnosis of malignant ovarian tumors. Due to the high accuracy of both models can be potentially used in clinical practice. (en)
Title	Ovarian cancer prediction in adnexal masses using ultrasound-based logistic regression models: a temporal and external validation study by the IOTA group Ovarian cancer prediction in adnexal masses using ultrasound-based logistic regression models: a temporal and external validation study by the IOTA group (en)
skos:prefLabel	Ovarian cancer prediction in adnexal masses using ultrasound-based logistic regression models: a temporal and external validation study by the IOTA group Ovarian cancer prediction in adnexal masses using ultrasound-based logistic regression models: a temporal and external validation study by the IOTA group (en)
skos:notation	RIV/00064165:_____/10:7815!RIV11-MZ0-00064165
http://linked.open...avai/riv/aktivita	N
http://linked.open...avai/riv/aktivity	N
http://linked.open...iv/cisloPeriodika	2
http://linked.open...vai/riv/dodaniDat	2011
http://linked.open...aciTvurceVysledku	Fischerová, Daniela
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Všeobecná fakultní nemocnice v Praze / (nerozlišená součást)
http://linked.open...dnocenehoVysledku	277756
http://linked.open...ai/riv/idVysledku	RIV/00064165:_____/10:7815
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	color Doppler ultrasonography; logistic models; ovarian neoplasms; sensitivity and specificity; ultrasonography; tumor-analysis-group; mathematical-models; prognostic model; pelvic masses; serum ca-125; benign; discrimination; distinguish; malignancy; diagnosis (en)
http://linked.open.../riv/klicoveSlovo	malignancy diagnosis prognostic model benign discrimination distinguish logistic models mathematical-models ovarian neoplasms pelvic masses ultrasonography sensitivity and specificity color Doppler ultrasonography serum ca-125 tumor-analysis-group
http://linked.open...odStatuVydavatele	GB - Spojené království Velké Británie a Severního Irska
http://linked.open...ontrolniKodProRIV	[E505B9144F35]
http://linked.open...i/riv/nazevZdroje	Ultrasound in Obstetrics and Gynecology
http://linked.open...in/vavai/riv/obor	FK
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	15 (xsd:int)
http://linked.open...UplatneniVysledku	2010
http://linked.open...v/svazekPeriodika	36
http://linked.open...iv/tvurceVysledku	Czekierdowski, A. Fischerová, Daniela Fruscio, R. Jurkovic, D. Lissoni, A. A. Savelli, L. Testa, AC Valentin, L. Van Calster, B. Van Holsbeke, C. Vergote, I. Guerriero, S. Timmerman, D. Van Huffel, S. Bourne, T.
http://linked.open...ain/vavai/riv/wos	000281086100017
issn	0960-7692
number of pages	9 (xsd:int)
is http://linked.open...avai/riv/vysledek of	Ovarian cancer prediction in adnexal masses using ultrasound-based logistic regression models: a temporal and external validation study by the IOTA group Ovarian cancer prediction in adnexal masses using ultrasound-based logistic regression models: a temporal and external validation study by the IOTA group Ovarian cancer prediction in adnexal masses using ultrasound-based logistic regression models: a temporal and external validation study by the IOTA group

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