SVM-Based Clinical Decision Support Algorithm under Medical Big Data Architecture

Big Data technology has experienced rapid development in recent years and has demonstrated its effectiveness when implemented inclinical diagnostic decision support. Current research of big data focuses largely on data storage architecture, the exploration on big clinical data mining and decision making strategy is relatively less. This paper discusses the parallel big medical data mining method under Spark architecture and proposes the optimized support vector machine (PCSVM) algorithm to provide qualitative data for clinical diagnostic decision support.