Exploration on Central Nervous System Injury Detection Technology Based on Data Analysis

With the continuous development of artificial intelligence technology, big data and deep learning algorithms are playing an increasingly important role in the field of Medical imaging analysis, which has become the main trend of Medical imaging analysis and research. How to establish an objective, comprehensive and accurate clinical diagnosis model through Medical imaging big data analysis technology has become the main development direction of Medical imaging data processing and clinical application. Taking data analysis as an example and combining with specific application cases, this paper introduced the research progress of the central nervous system damage detection technology based on data analysis in detail from the aspects of data acquisition, data preprocessing, Feature selection, model training, model evaluation and algorithm selection, and finally achieved the highest accuracy of 97.6%. At the same time, the article also prospected the prospects of this technology from the perspectives of technological development trends and clinical applications, in order to provide reference for future research work in this field.