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4 in total

1. External validation of three prognostic models for overall survival in patients with advanced-stage epithelial ovarian cancer.

Authors: R van de Laar; J IntHout; T Van Gorp; S Verdonschot; A M van Altena; C G Gerestein; L F A G Massuger; P L M Zusterzeel; R F P M Kruitwagen
Journal: Br J Cancer Date: 2013-11-19 Impact factor: 7.640

2. Assessment of published models and prognostic variables in epithelial ovarian cancer at Mayo Clinic.

Authors: Andrea E Wahner Hendrickson; Kieran M Hawthorne; Ellen L Goode; Kimberly R Kalli; Krista M Goergen; Jamie N Bakkum-Gamez; William A Cliby; Gary L Keeney; Daniel W Visscher; Yaman Tarabishy; Ann L Oberg; Lynn C Hartmann; Matthew J Maurer
Journal: Gynecol Oncol Date: 2015-01-22 Impact factor: 5.482

3. Prediction of survival outcomes in patients with epithelial ovarian cancer using machine learning methods.

Authors: E Sun Paik; Jeong Won Lee; Jeong Yeol Park; Ju Hyun Kim; Mijung Kim; Tae Joong Kim; Chel Hun Choi; Byoung Gie Kim; Duk Soo Bae; Sung Wook Seo
Journal: J Gynecol Oncol Date: 2019-03-11 Impact factor: 4.401

4. Nomograms Predicting Platinum Sensitivity, Progression-Free Survival, and Overall Survival Using Pretreatment Complete Blood Cell Counts in Epithelial Ovarian Cancer.

Authors: E Sun Paik; Insuk Sohn; Sun-Young Baek; Minhee Shim; Hyun Jin Choi; Tae-Joong Kim; Chel Hun Choi; Jeong-Won Lee; Byoung-Gie Kim; Yoo-Young Lee; Duk-Soo Bae
Journal: Cancer Res Treat Date: 2016-09-27 Impact factor: 4.679

4 in total