RESUMO
Purpose/Significance To address the challenge of low willingness to share scientific data among stakeholders in the tradi-tional Chinese medicine(TCM)industry,and to promote standardization,aggregation,sharing,and application of scientific data in the field of TCM.Method/Process By adhering to national standards for scientific data submission and management,integrating technologies such as blockchain and digital watermarking,the study aims to establish atrusted process for the exchange of scientific data in the field of TCM and build a TCM scientific data management platform.Result/Conclusion This platform will provide information technology support for regional TCM scientific data exchange,and effectively improve the efficiency and willingness of scientific data exchange within the region.
RESUMO
The paper introduces the research idea, design and realization of the distributed Naive Bayesian intelligent diagnosis sys-tem based on Hadoop, makes optimization and improvement according to its application in Traditional Chinese Medicine ( TCM) Hospital of Guangdong Province, including algorithm design improvement and enhancement of accuracy, extensibility and security of the system.
RESUMO
Data mining technology is called into play to comb and excavate data in the hospital information system(HIS)for the purposes of hospital management and patient safety.Data tables in the electronic medical record system were effectively remodeled as necessary.These measures help build a medical quality surveillance system which is based on the electronic medical record system,with such functions as real-time monitoring and pre-warning.The control framework consists the critical cases control system,surgery and invasive operation control system,overall control system,and TCM strengths application control system.