KFU. Card publication. NEW INDEX BASED ON HUMAN EPIDIDYMIS PROTEIN 4 PERFORMS BETTER THAN RISK OF OVARIAN MALIGNANCY ALGORITHM IN PREMENOPAUSAL PATIENTS WITH PELVIC MASS

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NEW INDEX BASED ON HUMAN EPIDIDYMIS PROTEIN 4 PERFORMS BETTER THAN RISK OF OVARIAN MALIGNANCY ALGORITHM IN PREMENOPAUSAL PATIENTS WITH PELVIC MASS

Form of presentation

Articles in international journals and collections

Year of publication

2021

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Authors, employees of KFU

Muratova Gulsiyar Zufarovna, author

Bibliographic description in the original language

Katsyuba M, Khasanov R, Madzhidov T, NEW INDEX BASED ON HUMAN EPIDIDYMIS PROTEIN 4 PERFORMS BETTER THAN RISK OF OVARIAN MALIGNANCY ALGORITHM IN PREMENOPAUSAL PATIENTS WITH PELVIC MASS//INTERNATIONAL JOURNAL OF GYNECOLOGICAL CANCER. - 2021. - Vol.31, Is.. - P.A366-A367.

Keywords

risk of malignancy; machine learning; cancer

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=277103&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Muratova Gulsiyar Zufarovna	ru_RU
dc.date.accessioned	2021-01-01T00:00:00Z	ru_RU
dc.date.available	2021-01-01T00:00:00Z	ru_RU
dc.date.issued	2021	ru_RU
dc.identifier.citation	Katsyuba M, Khasanov R, Madzhidov T, NEW INDEX BASED ON HUMAN EPIDIDYMIS PROTEIN 4 PERFORMS BETTER THAN RISK OF OVARIAN MALIGNANCY ALGORITHM IN PREMENOPAUSAL PATIENTS WITH PELVIC MASS//INTERNATIONAL JOURNAL OF GYNECOLOGICAL CANCER. - 2021. - Vol.31, Is.. - P.A366-A367.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=277103&p_lang=2	ru_RU
dc.description.abstract	INTERNATIONAL JOURNAL OF GYNECOLOGICAL CANCER	ru_RU
dc.language.iso	ru	ru_RU
dc.subject		ru_RU
dc.title	NEW INDEX BASED ON HUMAN EPIDIDYMIS PROTEIN 4 PERFORMS BETTER THAN RISK OF OVARIAN MALIGNANCY ALGORITHM IN PREMENOPAUSAL PATIENTS WITH PELVIC MASS	ru_RU
dc.type	Articles in international journals and collections	ru_RU