Prediction of Breast Cancer Metastasis Using Tree-Based Machine Learning Models: A Retrospective Analysis of Iranian Women.

Detalles Bibliográficos
Publicado en:Iranian Journal of Breast Diseases Vol. 19; no. 1; pp. 64 - 77
Autores principales: Khademi, Maryam, Khodabakhsh, Pooneh, Heidarpoor, Ziba, Paktinat, Sahba, Atashi, Alireza
Formato: research tables/charts Journal Article
Publicado: Iranian Journal of Breast Diseases 2026
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Prediction of Breast Cancer Metastasis Using Tree-Based Machine Learning Models: A Retrospective Analysis of Iranian Women.
      aug:
        au:
          Khademi, Maryam
          Khodabakhsh, Pooneh
          Heidarpoor, Ziba
          Paktinat, Sahba
          Atashi, Alireza
        affil: Department of Applied Mathematics, 1 Islamic Azad University South Tehran Branch, Tehran, Iran
      sug:
        subj:
          Breast Neoplasms
          Neoplasm Metastasis Prognosis
          Machine Learning Methods
          Prediction Models Evaluation
          Women Iran
          Iran
          Human
          Female
          Adult
          Middle Age
          Aged
          Aged, 80 and Over
          Decision Trees
          Random Forest
          Boosting Machine Learning Algorithms
          Sensitivity and Specificity
          Descriptive Statistics
          Retrospective Design
          Record Review
          Adult: 19-44 years
          Middle Aged: 45-64 years
          Aged: 65+ years
          Aged, 80 & over
          Female
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
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