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Ovarian recurrence risk assessment using machine learning, clinical information, and serum protein levels to predict survival in high grade ovarian cancer

Crossref DOI link: https://doi.org/10.1038/s41598-023-47983-z

Published Online: 2023-11-27

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Mysona, David P. https://orcid.org/0000-0003-4203-1123
Purohit, Sharad

Richardson, Katherine P.

Suhner, Jessa

Brzezinska, Bogna

Rungruang, Bunja

Hopkins, Diane

Bearden, Gregory

Higgins, Robert

Johnson, Marian

Bin Satter, Khaled

McIndoe, Richard

Ghamande, Sharad
Funding

Funding for this research was provided by:

AUGUSTA UNIVERSITY
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Text and Data Mining valid from 2023-11-27

Version of Record valid from 2023-11-27
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Article History

Received: 26 June 2023

Accepted: 21 November 2023

First Online: 27 November 2023

Competing interests

: The authors declare no competing interests.

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