Prediction of survival outcomes in patients with epithelial ovarian cancer using machine learning methods-Reference-Cited by-同舟云学术

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

Published:2019 Issue:4 Volume:30 Page:
ISSN:2005-0380
Container-title:Journal of Gynecologic Oncology
language:en
Short-container-title:J Gynecol Oncol

Author:

Paik E Sun¹^ORCID,Lee Jeong-Won¹²^ORCID,Park Jeong-Yeol³^ORCID,Kim Ju-Hyun³^ORCID,Kim Mijung⁴^ORCID,Kim Tae-Joong¹^ORCID,Choi Chel Hun¹^ORCID,Kim Byoung-Gie¹^ORCID,Bae Duk-Soo¹^ORCID,Seo Sung Wook²⁵^ORCID

Affiliation:

1. Department of Obstetrics and Gynecology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.

2. Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University School of Medicine, Seoul, Korea.

3. Department of Obstetrics and Gynecology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.

4. Department of Electronics and Information System, Ghent University, Ghent, Belgium.

5. Department of Orthopedic Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.

Funder

Ministry of Health and Welfare

National Research Foundation of Korea

Samsung Medical Center

Publisher

Asian Society of Gynecologic Oncology; Korean Society of Gynecologic Oncology and Colposcopy

Subject

Obstetrics and Gynaecology,Oncology,General Medicine

Link

https://synapse.koreamed.org/pdf/10.3802/jgo.2019.30.e65

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