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ZENODO
Published
2025-10-24
Section
Articles
How to Cite
How to Cite
PREDICTIVE OR PROGNOSTIC FACTORS FOR BREAST CANCER
Mukhamedieva Dilnoza
Professor of “TIIAME” NRU
Khamraev Mansur
Student of TUIT FSE
Keywords: Breast cancer detection, Artificial Intelligence, Machine Learning, Deep Learning, Medical Imaging, Convolutional Neural Networks, Support Vector Machines, Random Forest, K-Nearest Neighbors, Artificial Neural Networks, Recurrent Neural Networks, Feature Extraction, Early Diagnosis.
Abstract
Breast cancer is one of the most common and life-threatening diseases among women worldwide. Early diagnosis plays a crucial role in increasing survival rates and improving treatment effectiveness. This article presents the key factors of prediction and analysis that are essential for developing algorithms and software tools for the early detection of breast cancer using artificial intelligence (AI) and machine learning (ML) techniques.
References
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