Abstract: 【 Purpose/significance】With the rise of the new concept of big data environment, big data technology has been closely inte⁃ grated with various fields of society. "Big data" has penetrated into various industries in society, especially in the medical field. Whether it is medical research, department services, disease seeking and consultation, or the development and utilization of medical digital resources, significant changes have taken place. This article aims to establish a unified, efficient, interconnected, and practical healthcare system, in order to better provide protection for disease diagnosis and treatment.【 Method/process】By analyzing the current research status of evidence-based medicine data mining, this article constructs a medical data mining analysis platform for evidencebased medicine in the big data era, and analyzes the significance, analysis methods, system architecture, key technologies, and effec⁃ tiveness evaluation of the data mining analysis platform.【 Result/conclusion】Five modules in the system architecture of the data min⁃ ing analysis platform were designed, including data collection module, data preprocessing module, data warehouse module, data min⁃ ing module, and visualization application module.【 Innovation/limitations】This article realizes the data mining of medical data through the construction of a medical data mining analysis platform, providing analysis functions in three aspects: drug application analysis, disease diagnosis and treatment analysis, and medical decision support system. It can help doctor users improve diagnosis and treat⁃ ment accuracy, help medical management users improve management capabilities, and also achieve the purpose of using evidencebased medical data.