Chaotic Identification and Prediction of Silicon Content in Hot Metal

The time series data of silicon content in hot metal were identified to have the chaotic feature because of the positive maximum Lyapunov exponent, and then the time scales to predict future were estimated. Finally a chaotic local-region model was constructed to predict silicon content in hot metal with good performance due to high hitting rate.

智能化产科门诊电子病历的研发与应用

采用数据集成服务总线技术设计开发智能化产科门诊电子病历软件,实现产科电子病历数据的三级互联互通。结合《国家基本公共卫生服务规范》要求和产科临床实际制定产科门诊电子病历数据集标准,基于医学知识图谱技术开发产科电子病历的患者全息视图、检查信息快速录入、智能高危评估、个性化医嘱模板、异常值提醒、临床工作流等功能,从而实现了产科门诊电子病历数据的标准化和结构化,临床和保健工作的全程化和智能化。