KFU. Card publication. RISK OF OVARIAN MALIGNANCY ALGORITHM PERFORMS BETTER THAN CA125&HE4 ALONE IN A CLINICAL SETTING

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FEDERAL UNIVERSITY

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RISK OF OVARIAN MALIGNANCY ALGORITHM PERFORMS BETTER THAN CA125&HE4 ALONE IN A CLINICAL SETTING

Form of presentation

Articles in international journals and collections

Year of publication

2019

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Authors, employees of KFU

Muratova Gulsiyar Zufarovna, author

Savelev Anatoliy Aleksandrovich, author

Bibliographic description in the original language

Katsyuba M., Khasanov R., Usmanova G., RISK OF OVARIAN MALIGNANCY ALGORITHM PERFORMS BETTER THAN CA125&HE4 ALONE IN A CLINICAL SETTING//INTERNATIONAL JOURNAL OF GYNECOLOGICAL CANCER. - 2019. - Vol.29, Is.. - P.A478-A478.

Keywords

mathematical model, logistic regression equation, cancer risk prediction

The name of the journal

INTERNATIONAL JOURNAL OF GYNECOLOGICAL CANCER

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=233060&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Muratova Gulsiyar Zufarovna	ru_RU
dc.contributor.author	Savelev Anatoliy Aleksandrovich	ru_RU
dc.date.accessioned	2019-01-01T00:00:00Z	ru_RU
dc.date.available	2019-01-01T00:00:00Z	ru_RU
dc.date.issued	2019	ru_RU
dc.identifier.citation	Katsyuba M., Khasanov R., Usmanova G., RISK OF OVARIAN MALIGNANCY ALGORITHM PERFORMS BETTER THAN CA125&HE4 ALONE IN A CLINICAL SETTING//INTERNATIONAL JOURNAL OF GYNECOLOGICAL CANCER. - 2019. - Vol.29, Is.. - P.A478-A478.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=233060&p_lang=2	ru_RU
dc.description.abstract	INTERNATIONAL JOURNAL OF GYNECOLOGICAL CANCER	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	mathematical model	ru_RU
dc.subject	logistic regression equation	ru_RU
dc.subject	cancer risk prediction	ru_RU
dc.title	RISK OF OVARIAN MALIGNANCY ALGORITHM PERFORMS BETTER THAN CA125&HE4 ALONE IN A CLINICAL SETTING	ru_RU
dc.type	Articles in international journals and collections	ru_RU