Natural language processing method and system for clinical phenotype information of infertility

Abstract

The invention provides a natural language processing method and system for clinical phenotype information of infertility. A Chinese clinical phenotype original character string is converted into a Chinese and English clinical phenotype initial character string, an independent character string and a split character string through natural language preprocessing, punctuation mark splitting and field splitting methods; and based on a pre-established Chinese and English ontology dictionary, accurate matching and fuzzy matching are performed on the clinical phenotype initial character string, the independent character string and the split character string, and finally one or more ontologies matched with the Chinese and English ontology dictionary are output through a weighting rule. The fuzzy matching is intended to be calculated through semantic approximation. The invention further provides a natural language processing system and a medium. The natural language processing system comprises a reading module, a conversion module, a splitting module, a matching module and an output module. According to the method, the problem of quick matching of Chinese clinical phenotype information and the ontology dictionary is solved, and convenience is brought to all-exon sequencing analysis of diseases such as infertility and the like.

Description

technical field [0001] The invention belongs to the field of computer processing of clinical phenotype information, in particular to a natural language processing method and system for infertility clinical phenotype information. Background technique [0002] There are more than 40 million infertility patients in my country, and it has become the third largest disease after tumors and cardiovascular diseases. With the sudden increase of social pressure and the aggravation of air and food pollution, the incidence of infertility has risen from 3.5% 20 years ago to 12.5% ​​in 2016, and some areas have exceeded 15%, which means that every 8 couples One of the couples suffers from infertility. According to research, in addition to physical, chemical, microbial and other environmental factors, the individual's own genetic factors also have an important and profound impact on the occurrence of infertility. [0003] With the wide application of high-throughput sequencing technology...

AI Technical Summary

Problems solved by technology

However, most of the clinical phenotype information of infertility input by medical practitioners in the medical information platform is presented in non-standardized language, for example: the format is complex and diverse, often mixed with multiple languages, using non-standard grammar, using abbreviated Abbreviations or common names replace standard terms, wrong information is entered, symbols and other messy information are mixed in the text, and there is no unified standard, etc.

This brings inconvenience to the rapid matching of infertility clinical phenotype information and phenotype ontology

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