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

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
1 Online-Ressource.
Language
Englisch

Bibliographic citation
Ovarian recurrence risk assessment using machine learning, clinical information, and serum protein levels to predict survival in high grade ovarian cancer ; volume:13 ; number:1 ; day:27 ; month:11 ; year:2023 ; pages:1-11 ; date:12.2023
Scientific reports ; 13, Heft 1 (27.11.2023), 1-11, 12.2023

Creator
Mysona, David P.
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
Contributor
SpringerLink (Online service)

DOI
10.1038/s41598-023-47983-z
URN
urn:nbn:de:101:1-2024021511313158659369
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:22 AM CEST

Data provider

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Associated

  • Mysona, David P.
  • 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
  • SpringerLink (Online service)

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