Abstract
With the continuous development of technology and scientific research, people are constantly exploring the mysteries of the universe and human. Since ancient times, most people have died under various incurable diseases, which has led to a need for more knowledge about diseases to help humans resist diseases and help people explore the world to the next level. According to years of data statistics, cardiovascular and cerebrovascular diseases are one of the diseases with the highest mortality rate, and heart disease is included in it. According to statistics, around 695000 people died from heart disease in 2021, which is an extremely large number, so this paper needs to conduct research on heart disease more. This experiment aims to identify and analyze data related to heart disease, as well as use correlation methods to discover the impact of different factors that contribute to heart disease. By doing so, experimental results can be obtained and conclusions can be drawn regarding the research topic. Through experimental results, it can help people understand the different degrees of influence of the causative factors of heart disease on heart disease, maintain good lifestyle habits in daily life, and provide some tips and assistance for medical treatment. And this experiment can provide some reference for future research on heart disease and contribute to the development of drugs and medical technology.
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