Machine Learning Approaches with Effective Feature Selection for Improving Breast Cancer Prediction
Chandrakant Mallick, Chitta Ranjan Behera, Bijay Kumar Paikaray, Sarojananda Mishra · 2023
Machine learning techniques enable systems to learn from experience and improve automatically without explicit programming. Machine learning techniques have proven efficient in many real-world applications. As the demand for accurate and reliable disease prediction systems rises in the medical field, numerous machine learning techniques are being employed for medical data analysis. The resulting models help medical practitioners make informed decisions. This paper explores the application of efficient machine learning approaches for medical data analysis and breast cancer prediction. Specifically, we employ classification algorithms to differentiate between cancerous and non-cancerous cells. The objective of this research is to determine the most suitable algorithm for cell classification and identify the algorithm that yields the best prediction output.