Research on Medical Device Measurement and Inspection System Based on Big Data Analysis

The accuracy and stability of medical equipment have a crucial impact on the diagnostic results and therapeutic effects of patients, so the measurement and testing technology of medical equipment has become particularly important. This thesis is based on big data analysis of medical equipment measurement and testing technology, through the comprehensive use of data mining, machine learning and other big data analysis technology, in-depth analysis of medical equipment measurement and testing data, to achieve accurate assessment of the performance of medical equipment, fault prediction and timely maintenance, so as to improve the efficiency and safety of the use of medical equipment, and to provide a strong support for the development of the medical industry. This thesis provides new ideas and methods for the development of medical equipment measurement and testing technology, which helps to promote the scientific and intelligent management of medical equipment.