Analysis 10-Year Cancer Trends: Identifying Key Types with Clustering

Although medicine has come a long way but cancer is still one of the top causes of death in the world. Many researchers research has been conducted to understand the relationship between different cancer types and their impact. However, this study is focus on analyzing the cancer mortality rates across various different countries without suggesting any mitigation strategies. Traditional method may cause high cost, potential error, and Restricted Accessibility. Cancer is a complex and dangerous disease with tumor characteristics which varying across their types and individuals. This paper also discusses the importance of machine learning in cancer research and analyzes the cancer mortality data over the past decade to identify the most prevalent cancer types. However, This paper analyzes both 10 years of global mortality data and related cancer prediction studies which makes it distinct its approach.