Data Retrieval Of The Structural Computerized Patient Records

Computerized Patient Record can provide the physicians with integrated, exact data about patients and offer certain clue and advice; hold out the clinic decision-making, connect medical knowledge base and other. If you want to abstract some documents which according to definite condition from large numbers of medical documents to analyze and summarize, (investigate the rules, such as the range of age and zone of the person who sensitive certain disease) searching from patient-record is a necessary way. The traditional Computerized Patient Record usually adopt the document way or half-structural way. These ways not only difficult to save, but also have troubles in retrieve and statistic and so on. Especially the retrieval system needs to correct words, its intelligent degree is low relatively, thus bring user lots of inconvenience. Consequently, it is important to set up a retrieval system which have some intelligence . The structural Computerized Patient Record with based on extensible Markup Language resolve the structural problem at a large degree. Based on this, much artificial intelligence technique such as natural language understanding and so on have been used. We designed the module to collect XML documents, these are used to be the enough data source of the follow retrieval; set up the retrieval system which have elementary intelligence,it can be used to synonymous and implicative retrieval according to the keywords which users input; set index on tag in order to improve the speed of retrieval ; during the construct of the knowledge base,synonymous dictionary and implicative dictionary are set up ,make use of the knowledge and according to inference strategy resolve the user's problems; We set up the knowledge base management system in order to manage knowledge base effectively. Some strategy mentioned above was founded in the CPR system of the Tumor Hospital Affiliated to Fudan University...