The National Knowledge Mapping and Semantic Computing Conference (CCKS2018) was held in Tianjin from August 14th to 17th. With outstanding professional skills, the Ali Health team won the title in the Chinese electronic medical record named entity identification evaluation task.
The structure of electronic medical records is the basis for computers to understand medical records and apply medical records. Based on the structure of the medical records, the relationship between symptoms, diseases, drugs, inspection and other knowledge points and their probabilities can be calculated, and the knowledge map in the medical field can be constructed to further optimize the doctor's work.
For example, an auxiliary diagnosis and treatment system based on the quality medical record data of a large hospital can be applied in the primary hospital to improve the doctor's business ability; automatically analyze whether the medicine prescribed by the doctor is reasonable according to the symptoms and previous medical records, predict the probability of misdiagnosis, etc. . Structured electronic medical records also play a major role in clinical medical research, etc. Doctors can search for relevant medical records more intelligently, or view similar medical records, and also conduct statistical analysis on medical records, which helps doctors discover potential knowledge connections and generate High level clinical research papers.
The evaluation task of the electronic medical record named entity identification of CCKS2018 is to identify and extract the medical clinical related entities for a given set of electronic medical record plain text documents, and classify them into pre-defined categories. . The organizing committee provided 600 copies of the electronic medical record text for this evaluation task, and identified five types of entities including anatomical parts, independent symptoms, symptom description, surgery and drugs.
At present, the mainstream Chinese entity recognition methods mainly use the common methods from English and other languages, and do not play the characteristics of Chinese. Just as in English, the meaning and nature of a word can be guessed according to the root affix of a word. The strokes and radicals of Chinese characters also contain a lot of information. The Ali Health team is based on two sequence labeling algorithms. For the first time, the cw2vec method is used in the medical text field to construct a word vector matrix. Based on all non-labeled texts and annotated text sets, the word vector is trained to solve the problem that the new word cannot be recognized. At the same time, the general scheme of the structure of Chinese characters and the characteristics of Pinyin is improved. In the end, the team achieved the first place with a strict indicator of 0.8913.
“Medical named entity recognition is only a small part of our team's work, and it is the basis for our medical artificial intelligence services for hospitals and doctors.†Fan Wei, director of the Ali Health Artificial Intelligence Laboratory, said that the Ali Health team has long focused on entity identification and entities. Links, relationship extraction and other means identify information from electronic medical records, and on this basis, the information is integrated and integrated to provide a data foundation for other services in the form of knowledge map presentation. On top of this, based on electronic medical record data, Ali Health has created a number of products for hospitals and doctors, such as big data research platforms and clinical assistant decision-making engines, to provide a more intelligent user experience for doctors and users, and to help them improve their professional level. And work efficiency.
CCKS is a national annual academic conference organized by the Chinese Society of Chinese Information Society's Language and Knowledge Computing Committee (CIPS). It is dedicated to promoting academic research and industrial development in the field of Chinese language and knowledge computing. It is a scholar engaged in theoretical and applied research in related fields. The platform for organizations and enterprises to provide extensive communication has become a core meeting in the fields of knowledge mapping, semantic technology, language understanding and knowledge computing.
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