Research on Medical Big Data Mining and Intelligent Analysis for Smart Healthcare

In the process of rapid socio-economic development, people’s living standards have been improved to varying degrees. At the same time, more and more people are turning their attention to physical health while satisfying their material and spiritual lives. In order to provide more effective health protection, China has established a medical system covering the whole country. While increasing medical investment, China has improved its medical level through the integration of high-tech, including the application of big data technology in smart healthcare. This article first introduces the basic framework of intelligent analysis and cloud computing, and then applies medical big data mining and formulas to the field of smart healthcare, which can adjust smart healthcare by calculating the average and standard deviation of medical care. Finally, practical analysis is conducted on big data mining in smart healthcare, and it is analyzed that it is in line with smart healthcare big data mining. The experimental results show that the proposed algorithm can effectively improve the level of medical big data preprocessing, and the data mining effect is good. Finally, this article explains the new technologies such as medical IoT, cloud computing, big data mining, and intelligent analysis in the definition of smart healthcare, as well as analyzes the basic concepts and business forms to prove the effectiveness of smart healthcare. Among them, this article obtains relevant health data from various sensors of patients, achieving 78% recognition, 87% detection, and 92% control of the tested object from Data 1 to Data 4. Therefore, combining big data mining with intelligent algorithms in smart healthcare can greatly improve assistance.