Individualized anesthesia scheme determination method based on big data platform

The invention discloses an individualized anesthesia scheme determination method based on a big data platform. The method comprises the following steps: S100, obtaining existing clinical anesthesia related data; s200, building a big data platform based on the acquired related data; s300, recommending and optimizing an individualized anesthesia scheme according to the big data platform; and S400, automatically performing drug allocation according to the determined anesthesia scheme. According to the method, the anesthesia scheme can be formulated more comprehensively and specifically, the safety of the anesthesia process is improved, the influence of subjective factors is avoided, the manual operation of an anesthetist is reduced, the recovery time of a patient and the occurrence rate of postoperative complications are predicted, and the clinical anesthesia scheme is continuously optimized. 本发明公开了一种基于大数据平台的个体化麻醉方案确定方法，包括以下步骤：S100：获取已有的临床麻醉相关数据；S200：基于获取的相关数据搭建大数据平台；S300：依据大数据平台推荐及优化个体化麻醉方案；S400：根据确定的麻醉化方案自动进行药