Developing the breast cancer risk prediction system using hybrid machine learning algorithms

• Autores principales: Mohammad R Afrash (Autor), Azadeh Bayani (Autor), Mostafa Shanbehzadeh (Autor), Mohammadkarim Bahadori (Autor), Hadi Kazemi-Arpanahi (Autor)
• Formato: Libro
• Publicado: Wolters Kluwer Medknow Publications, 2022-01-01T00:00:00Z.
• Materias: article
• Acceso en línea: Connect to this object online.

BACKGROUND: Breast cancer (BC) is the most common cause of cancer-related deaths in women globally. Currently, many machine learning (ML)-based predictive models have been established to assist clinicians in decision making for the prediction of BC. However, preventing risk factor formation even wit...