With the large-scale emergence and development of the online health care servicesystem, provide users with more convenient medical services is becoming increasinglyimportant. In the context of Health consultation grid platform, this paper focuses on thehealth care resource sharing mechanism and the Q&A Recommended subsystem.In order to integrate the large number of heterogeneous and distributed onlinemedical resources, on the basis of analying the Metadata standards for medical andhealth care, we give the following steps of realizing resource sharing, including resourcestandardization and data integration. This paper discusses a meta-data as the core,"physically distributed, logically unified",SOA-based architecture of medical resourcessharing platform, raises hierarchical resource sharing model, and analyzes the sharedplatform from five different views.For fast and accurate answers to common problems in the medical field, the paperdesign and implement an automatic Question-answering recommended system. Firstly,this article improves the traditional chinese sentence similarity algorithm, and proposesa sentence similarity computing method based on the combination of the keywordsweight and multi-features; Secondly, this system involves the following four modules:questions pre-processing, the establishment of the candidate question sets,the matchingcaculations of questions and the maintenance of the Question-answering library.Wesepartely deal with their design and implementation; Finally, through the system test tomake comprehensive evaluation of the improved algorithm, experimental results showthat the improved method has a higher rate of precision and recall in Chinese similaritycomputing. |