The Research Of Reasoning System For Hypertension EMR Based On Ontology

Electronic Medical Record(EMR),one of the core contents of medical information management, is the inexorable trend of hospital information process.At present, a patient oriented, highly integrated multi-media Information System(HIS) is under the way in China.Although the current electronic medical record(EMR) system said to be an efficient management system, it has not yet reached the level of intelligent analysis, and the doctor can not get more help of analysis from it.The purpose of this subject is to know the situation of the domestic EMR at present, combined with the field of knowledge of hypertension, The core concepts.the real cases and the relationship of these of EMR is given form the language of ontology and and SWRL rules, which can achieve the goal of unified various terms of concepts.Thus, using hypertension-EMR prediction domain as the background, this paper designed and implemented an ontology-based reasoning system. The design flow of the paper is as follows:First, the paper studied substantial reference literature and some experts in hypertension-EMR field also took part in. Domain ontology library was built using the protege which is an ontology development environment, and it described the concept and the constraints and contact between concepts in the field of hypertension-EMR.Second, with Plug-ins SWRLTab, the paper has a detailed description to the process of SWRL reasoning rules setting up. From analysis of problem to be solved to description of inference flow, and to the Atom and the Imp setting up, until the final completion of the whole rule-base development, the paper introduced every step of the development process in detail.Third, the paper put Jess engine as SWRL rule reasoning engine. First of all, hypertension-EMR instances and SWRL inference rules were mapped into corresponding Jess facts and rules, and then Jess engine performed inference according to converted Jess facts and rules. hypertension-EMR prediction and query requests can be achieved.Forth, this article describes a time series and their uses, which leads to interval time sequence and mapped the medical data from the mining method based on the interval Times series. Try to find the contact between the hypertension domain concepts from hypertension EMR.but the development of experimental and data analysis work still needs to achieve in the next step.