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Machine learning in predicting early remission in patients after surgical treatment of acromegaly: a multicenter study.
Qiao, Nidan; Shen, Ming; He, Wenqiang; He, Min; Zhang, Zhaoyun; Ye, Hongying; Li, Yiming; Shou, Xuefei; Li, Shiqi; Jiang, Changzhen; Wang, Yongfei; Zhao, Yao.
Afiliación
  • Qiao N; Department of Neurosurgery, Shanghai Medical School, Huashan Hospital, Fudan University, 12 Wulumuqi Zhong Road, Shanghai, China.
  • Shen M; Shanghai Clinical Medical Center of Neurosurgery, Shanghai, China.
  • He W; Medical Science in Clinical Investigation, Harvard Medical School, Boston, USA.
  • He M; Neurosurgical Institute of Fudan University, Shanghai, China.
  • Zhang Z; Shanghai Pituitary Tumor Center, Shanghai, China.
  • Ye H; Department of Neurosurgery, Shanghai Medical School, Huashan Hospital, Fudan University, 12 Wulumuqi Zhong Road, Shanghai, China.
  • Li Y; Shanghai Clinical Medical Center of Neurosurgery, Shanghai, China.
  • Shou X; Neurosurgical Institute of Fudan University, Shanghai, China.
  • Li S; Shanghai Pituitary Tumor Center, Shanghai, China.
  • Jiang C; Department of Neurosurgery, Shanghai Medical School, Huashan Hospital, Fudan University, 12 Wulumuqi Zhong Road, Shanghai, China.
  • Wang Y; Shanghai Clinical Medical Center of Neurosurgery, Shanghai, China.
  • Zhao Y; Neurosurgical Institute of Fudan University, Shanghai, China.
Pituitary ; 24(1): 53-61, 2021 Feb.
Article en En | MEDLINE | ID: mdl-33025547
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Acromegalia / Aprendizaje Automático Tipo de estudio: Clinical_trials / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Pituitary Asunto de la revista: ENDOCRINOLOGIA Año: 2021 Tipo del documento: Article País de afiliación: China
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Acromegalia / Aprendizaje Automático Tipo de estudio: Clinical_trials / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Pituitary Asunto de la revista: ENDOCRINOLOGIA Año: 2021 Tipo del documento: Article País de afiliación: China