Comparison of Machine Learning Models for Classification of Breast Cancer Risk Based on Clinical Data.

Journal: Cancer reports (Hoboken, N.J.)
PMID: 40176498

Abstract

BACKGROUND: Breast cancer (BC) is a major global health concern with rising incidence and mortality rates in many developing countries. Effective BC risk assessment models are crucial for prevention and early detection. While the Gail model, a traditional logistic regression-based model, has been broadly used, its predictive performance may be limited by its linear assumptions. With the rapid advancement of artificial intelligence (AI) in medical sciences, various complex machine learning algorithms have been developed for risk prediction, including for BC.

Authors

  • Haniyeh Rafiepoor
    Cancer Biology Research Center, Cancer Institute, Tehran University of Medical Sciences, Tehran, Iran.
  • Alireza Ghorbankhanloo
    Cancer Biology Research Center, Cancer Institute, Tehran University of Medical Sciences, Tehran, Iran.
  • Kazem Zendehdel
    Cancer Biology Research Center, Cancer Institute, Tehran University of Medical Sciences, Tehran, Iran.
  • Zahra Zangeneh Madar
    School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran.
  • Sepideh Hajivalizadeh
    Osteoporosis Research Center, Endocrinology and Metabolism Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
  • Zeinab Hasani
    School of Medicine, Tehran University of Medical Science, Tehran, Iran.
  • Ali Sarmadi
    Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran.
  • Behzad Amanpour-Gharaei
    Cancer Biology Research Center, Cancer Institute, Tehran University of Medical Sciences, Tehran, Iran.
  • Mohammad Amin Barati
    School of Mechanical Engineering, University of Tehran, Tehran, Iran.
  • Mozafar Saadat
  • Seyed-Ali Sadegh-Zadeh
    Department of Computing, School of Digital, Technologies and Arts, Staffordshire University Stoke-on-Trent ST4 2DE, UK.
  • Saeid Amanpour
    Cancer Biology Research Center, Cancer Institute, Tehran University of Medical Sciences, Tehran, Iran.

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