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Machine Learning Approach for the Determination of the Best Cut-Off Points for Ki67 Proliferation Index in Adjuvant and Neo-Adjuvant Therapy Breast Cancer Patients.
Khosravi, Sepehr; Khayyamfar, Amirmahdi; Karimi, Jamileh; Tutuni, Mahdieh; Negahi, Alireza; Akbari, Mohamad Esmaeil; Nafissi, Nahid.
Afiliación
  • Khosravi S; Sina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Tehran, Iran.
  • Khayyamfar A; Sina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Tehran, Iran.
  • Karimi J; Department of Biomedical Engineering, Tarbiat Modares University, Tehran, Iran.
  • Tutuni M; Medical Physics Department, Iran University of Medical Sciences, Tehran, Iran.
  • Negahi A; Department of General Surgery, Rasool Akram Medical Complex Clincal Research Development Center (RCRDC), Iran University of Medical Sciences, Tehran, Iran.
  • Akbari ME; Cancer Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Nafissi N; Department of Surgery, Hazart-e-Rasoul Akram Hospital, Iran University of Medical Sciences, Tehran, Iran; Cancer Center, Khatam Al-Anbia Hospital, Tehran, Iran. Electronic address: nafissi.n@iums.ac.ir.
Clin Breast Cancer ; 23(5): 519-526, 2023 07.
Article en En | MEDLINE | ID: mdl-37156698
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama Tipo de estudio: Prognostic_studies Límite: Female / Humans Idioma: En Revista: Clin Breast Cancer Asunto de la revista: NEOPLASIAS Año: 2023 Tipo del documento: Article País de afiliación: Irán
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama Tipo de estudio: Prognostic_studies Límite: Female / Humans Idioma: En Revista: Clin Breast Cancer Asunto de la revista: NEOPLASIAS Año: 2023 Tipo del documento: Article País de afiliación: Irán