Structural Research And System Implementation Of Medical CT Text

With the rapid development of the medical industry and information technology,major hospitals produce a large amount of unstructured medical text data in the process of providing medical services currently.The CT text report is a very important medical text data,as a carrier of medical data,which records the morphology of the organ under CT and the presence or absence of lesions and so on related information.The CT text report is very important for the doctor to diagnose the patient's illness and is an important basis for the final diagnosis.The current method of medical-related text processing mainly relies on the personal knowledge and experience of the doctors,but this manual method is not only time-consuming and labor-intensive,and the doctor's long-term treatment may make it difficult to ensure accuracy.Therefore,mining medical texts based on intelligent methods has practical significance in the industry.This paper focuses on the following aspects of medical CT text mining to achieve unstructured CT text value mining:(1)In view of the relatively professional characteristics of medical field expression,this paper proposes a method of CT text named entity recognition based on conditional random fields(CRF)and medical inherent rules.After the Chinese word segmentation and the part of speech tagging of the original CT text report,the CRF++ tool is used to mark the component sequence and the sentence sequence,then combining the deduction rules of artificial induction and the normalization training of the extracted entity using word2vec,it can effectively extract the entity in the text and excavate the relationship between the entities.(2)This paper creatively proposed a structured methodology system for unstructured text data used in medical text data,that is a method of structuring CT text,which is composed of three stages of CT text report preprocessing phase,CT text report attribute extraction phase and CT text report is actually structured phase.(3)A structured prototype system of medical image CT text report is constructed,and the system is tested by using data.The experimental results show that the accuracy of the structured processing method proposed in this paper can reach 86.7%,which has reached the requirements of the system expected design,and provides a processing method for structuring the CT text.