Knowledge Acquisition And Application For Clinical Texts

The contemporary society is constantly developing,the economic level is constantly improving,and science and technology are constantly developing.The improvement of the economic level will inevitably make people pay more attention to their own health conditions,and at the same time,the requirements for medical service levels are getting higher and higher.Existing medical services are limited by various factors such as resources and management,and it is difficult to meet the growing needs of people.Smart medical care is becoming more and more important,and making full use of the knowledge in medical texts can speed up the process of smart medical care.Clinical text contains a lot of useful knowledge,we can help doctors make clinical decision support by training the disease diagnosis model in clinical text,so we should use the clinical text urgently,we have the following aspects of the clinical text Research:(1)Before using the electronic medical record,since the electronic medical record still contains many patients and doctors' private information,the automatic privacy function is realized by the method of named entity recognition before the Chinese electronic medical record is used.(2)In the clinical path,the knowledge is extracted by the method of named entity recognition,and the combination of the dictionary and the rule extracts the relationship,and the acquired knowledge is combined with the original knowledge base,which increases the entity and relationship and expands the knowledge scale.(3)Using FastText and TextCNN methods to diagnose diseases by text classification of some texts of medical records,and provide clinical decision support for doctors.(4)The trained disease diagnosis model is used for the medical record quality inspection work,and it is mainly judged whether the main diagnosis is reasonable and whether all the diagnosises are complete.After completing the above work,the clinical text can play a role in smart medical care,helping to intelligently liberate the doctor's workforce,and the model trained according to the prior knowledge of professional and excellent doctors can be used for patients who are easy to treat.Or reduce the time for the doctor's diagnosis so that the doctor can serve more people.Smart care can make machines and doctors better serve people.For us,the biggest advantage of smart medical care is the ability to automatically serve patients and serve doctors,thus reducing the contradiction between doctors and patients.