Objective: This study aims to develop and evaluate effective methods that can normalize diagnosis and procedure terms written by physicians to standard concepts in International Classification of Diseases (icd) in Chi...
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Objective: This study aims to develop and evaluate effective methods that can normalize diagnosis and procedure terms written by physicians to standard concepts in International Classification of Diseases (icd) in Chinese, with the goal to facilitate automated medical coding in China. Methods: We applied the entity-linking framework to normalize Chinese diagnosis and procedure terms, which consists of two steps - candidate concept generation and candidate concept ranking. For candidate concept generation, we implemented both the traditional BM25 algorithm and an extended version that integrates a synonym knowledgebase. For candidate concept ranking, we investigated a number of different algorithms: (1) the BM25 algorithm, (2) ranking support vector machines (RankSVM), (3) a previously reported Convolutional Neural Network (CNN) approach, (4) 11 deep ranking-based methods from the MatchZoo toolkit, and (5) a new BERT (Bidirectional Encoder Representations from Transformers) based ranking method. Using two manually annotated datasets (8,547 diagnoses and 8,282 procedures) collected from a Tier 3A hospital in China, we evaluated above methods and reported their performance (i.e., accuracy) at different cutoffs. Results: The coverage of candidate concept generation was greatly improved after integrating the synonym knowledgebase, achieving 97.9% for diagnoses and 93.4% for procedures respectively. Overall the new BERT-based ranking method achieved the best performance on both diagnosis and procedure normalization, with the best accuracy of 92.1% for diagnosis and 80.1% for procedure, when the top one concept and exact match criteria were used. Conclusions: This study developed and compared diverse entity-linking methods to normalize clinical terms in Chinese and our evaluation shows good performance on mapping disease terms to icd codes, demonstrating the feasibility of automated encoding of clinical terms in Chinese.
icd-10 disease classification code,as the only standard for the classification of out-patient and in-patient medical records in China,is of great significance in data statistics,medical information interoperability,cl...
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icd-10 disease classification code,as the only standard for the classification of out-patient and in-patient medical records in China,is of great significance in data statistics,medical information interoperability,clinical data analysis and application,and medical insurance ***,there are still some practical problems such as the Chinese version of icd-10 is not suitable for Chinese doctors' clinical diagnosis、 the accuracy of icd coding is not *** affects the accuracy of the interaction and clinical data sharing,and also makes the medical insurance settlement which according to the type of disease have errors in *** order to classify clinical medical records more accurately without increasing the workload of doctors and coders,we designed an application scheme to automatically match clinical diagnosis and icd-10 diagnosis in the process of clinical diagnosis and *** have achieved good application results in a hospital with more than 1000 beds in *** paper introduces the methods,techniques and results of this clinical case.
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