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Machine Learning for Recurrence Prediction of Gynecologic Cancers Using Lynch Syndrome-Related Screening Markers.
Kim, Byung Wook; Choi, Min Chul; Kim, Min Kyu; Lee, Jeong-Won; Kim, Min Tae; Noh, Joseph J; Park, Hyun; Jung, Sang Geun; Joo, Won Duk; Song, Seung Hun; Lee, Chan.
Affiliation
  • Kim BW; Department of Information and Communication Engineering, Changwon National University, Changwon 51140, Korea.
  • Choi MC; Comprehensive Gynecologic Cancer Center, CHA Bundang Medical Center, CHA University, Seongnam 13497, Gyeonggido, Korea.
  • Kim MK; Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon 51353, Korea.
  • Lee JW; Gynecologic Cancer Center, Department of Obstetrics and Gynecology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.
  • Kim MT; Department of Information and Communication Engineering, Changwon National University, Changwon 51140, Korea.
  • Noh JJ; Gynecologic Cancer Center, Department of Obstetrics and Gynecology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.
  • Park H; Comprehensive Gynecologic Cancer Center, CHA Bundang Medical Center, CHA University, Seongnam 13497, Gyeonggido, Korea.
  • Jung SG; Comprehensive Gynecologic Cancer Center, CHA Bundang Medical Center, CHA University, Seongnam 13497, Gyeonggido, Korea.
  • Joo WD; Comprehensive Gynecologic Cancer Center, CHA Bundang Medical Center, CHA University, Seongnam 13497, Gyeonggido, Korea.
  • Song SH; Comprehensive Gynecologic Cancer Center, CHA Bundang Medical Center, CHA University, Seongnam 13497, Gyeonggido, Korea.
  • Lee C; Comprehensive Gynecologic Cancer Center, CHA Bundang Medical Center, CHA University, Seongnam 13497, Gyeonggido, Korea.
Cancers (Basel) ; 13(22)2021 Nov 12.
Article in En | MEDLINE | ID: mdl-34830824
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Full text: 1 Database: MEDLINE Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Language: En Year: 2021 Type: Article
Fulltext
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Full text: 1 Database: MEDLINE Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Language: En Year: 2021 Type: Article