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Radiomics With Ensemble Machine Learning Predicts Dopamine Agonist Response in Patients With Prolactinoma.
Park, Yae Won; Eom, Jihwan; Kim, Sooyon; Kim, Hwiyoung; Ahn, Sung Soo; Ku, Cheol Ryong; Kim, Eui Hyun; Lee, Eun Jig; Kim, Sun Ho; Lee, Seung-Koo.
Afiliación
  • Park YW; Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Korea.
  • Eom J; Pituitary Tumor Center, Severance Hospital, Seoul, Korea.
  • Kim S; Department of Computer Science, Yonsei University, Seoul, Korea.
  • Kim H; Department of Statistics and Data Science, Yonsei University, Seoul, Korea.
  • Ahn SS; Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Korea.
  • Ku CR; Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Korea.
  • Kim EH; Pituitary Tumor Center, Severance Hospital, Seoul, Korea.
  • Lee EJ; Pituitary Tumor Center, Severance Hospital, Seoul, Korea.
  • Kim SH; Department of Endocrinology, Yonsei University College of Medicine, Seoul, Korea.
  • Lee SK; Pituitary Tumor Center, Severance Hospital, Seoul, Korea.
J Clin Endocrinol Metab ; 106(8): e3069-e3077, 2021 07 13.
Article en En | MEDLINE | ID: mdl-33713414
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Hipofisarias / Prolactinoma / Agonistas de Dopamina / Antineoplásicos Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: J Clin Endocrinol Metab Año: 2021 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Hipofisarias / Prolactinoma / Agonistas de Dopamina / Antineoplásicos Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: J Clin Endocrinol Metab Año: 2021 Tipo del documento: Article Pais de publicación: Estados Unidos