Computational intelligence techniques for achieving sustainable development goals in female cancer care

Abstract

Abstract This narrative review explores the intersection of computational intelligence (CI) techniques and the Sustainable Development Goals (SDGs) in the context of female cancer patients. With the increasing prevalence of cancer among women worldwide, there is a pressing need to integrate advanced computational methods to enhance diagnosis, treatment, and management. This review highlights various CI methods, including artificial intelligence, machine learning and data science, and examines their contributions to achieving specific SDGs like health and well-being (SDG 3), gender parity (SDG 5), and reduced disparity (SDG 10). Additionally, the review considers the impact of CI on other relevant SDGs, such as poverty eradication (SDG 1), quality education (SDG 4), economic growth and decent work (SDG 8), innovation and infrastructure (SDG 9), and global partnerships (SDG 17). The paper discusses the current state of CI applications in female cancer care, identifies challenges, and proposes future directions for research and practice.

Keywords

• Computational intelligence
• Sustainable development goals
• Female cancer patients
• Machine learning
• Artificial intelligence
• Healthcare technology