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A Preliminary Work on Symptom Name Recognition from Free-Text Clinical Records of Traditional Chinese Medicine using Conditional Random Fields and Reasonable Features

Yaqiang Wang, Yiguang Liu, Zhonghua Yu, Li Chen, Yongguang Jiang
2012 Workshop on Biomedical Natural Language Processing  
A preliminary work on symptom name recognition from free-text clinical records (FCRs) of traditional Chinese medicine (TCM) is depicted in this paper.  ...  The task is handled by Conditional Random Fields (CRFs) based on two types of features.  ...  Xuehong Zhang and M.S. Shengrong Zhou for their helpful suggestions to this work and their valuable work on manually structuring the clinical records for us. The authors are grateful to Ms.  ... 
dblp:conf/bionlp/WangLYCJ12 fatcat:4wzkubi4frfctncpqlv6fcegi4

Model-based clinical note entity recognition for rheumatoid arthritis using bidirectional encoder representation from transformers

Meiting Li, Feifei Liu, Jia'an Zhu, Ran Zhang, Yi Qin, Dongping Gao
2021 Quantitative Imaging in Medicine and Surgery  
This paper confirms the effectiveness of using an advanced artificial intelligence method to carry out named entity recognition tasks on a corpus of a large number of clinical notes; this application is  ...  The generated word vectors were then inputted into the model, which is composed of traditional bidirectional long short-term memory neural networks and conditional random field machine learning algorithms  ...  Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved  ... 
doi:10.21037/qims-21-90 pmid:34993070 pmcid:PMC8666749 fatcat:3hlx7iikq5fyzhgo2lldumf7iy

Supervised methods for symptom name recognition in free-text clinical records of traditional Chinese medicine: An empirical study

Yaqiang Wang, Zhonghua Yu, Li Chen, Yunhui Chen, Yiguang Liu, Xiaoguang Hu, Yongguang Jiang
2014 Journal of Biomedical Informatics  
Clinical records of traditional Chinese medicine (TCM) are documented by TCM doctors during their routine diagnostic work.  ...  As a result, the previous methods verified on the well-structured data will not work effectively on the free-text clinical records (FCRs), and the FCRs are, consequently, required to be structured in advance  ...  However, the contents of most fields in the clinical records, e.g. the chief complaints, are unstructured (or free-text).  ... 
doi:10.1016/j.jbi.2013.09.008 pmid:24070769 fatcat:xyjeoghfdvd2vjatdwaghskptm

Advances in Patient Classification for Traditional Chinese Medicine: A Machine Learning Perspective

Changbo Zhao, Guo-Zheng Li, Chengjun Wang, Jinling Niu
2015 Evidence-Based Complementary and Alternative Medicine  
As a complementary and alternative medicine in medical field, traditional Chinese medicine (TCM) has drawn great attention in the domestic field and overseas.  ...  Syndrome (ZHENG or pattern) is differentiated by a set of symptoms and signs examined from an individual by four main diagnostic methods: inspection, auscultation and olfaction, interrogation, and palpation  ...  Acknowledgments This work was supported by the Natural Science Foundation of China under Grants nos. 61105053 and 61273305 as well as the Fundamental Research Funds for the Central Universities.  ... 
doi:10.1155/2015/376716 pmid:26246834 pmcid:PMC4515265 fatcat:tkr3oyc5tbhthasaej2neeyjf4

Constructing fine-grained entity recognition corpora based on clinical records of traditional Chinese medicine

Tingting Zhang, Yaqiang Wang, Xiaofeng Wang, Yafei Yang, Ying Ye
2020 BMC Medical Informatics and Decision Making  
In this study, we focus on building a fine-grained entity annotation corpus with the corresponding annotation guideline of traditional Chinese medicine (TCM) clinical records.  ...  These results will provide a foundation for future research on corpus construction and named entity recognition tasks in the TCM clinical domain.  ...  Acknowledgements We would like to thank Pro.Jiang for providing the clinical records of TCM used in this paper.  ... 
doi:10.1186/s12911-020-1079-2 pmid:32252745 fatcat:dcktu2lgejcjnliwrivzxlpgd4

TCM-SD: A Benchmark for Probing Syndrome Differentiation via Natural Language Processing [article]

Mucheng Ren, Heyan Huang, Yuxiang Zhou, Qianwen Cao, Yuan Bu, Yang Gao
2022 arXiv   pre-print
The unique TCM diagnosis and treatment system requires a comprehensive analysis of a patient's symptoms hidden in the clinical record written in free text.  ...  Traditional Chinese Medicine (TCM) is a natural, safe, and effective therapy that has spread and been applied worldwide.  ...  The data used in this paper were only routine diagnosis and treatment data of patients, excluding any personal information of the patients (such as name, age, and telephone number).  ... 
arXiv:2203.10839v2 fatcat:p4lwpginkfe33eosbtzp2ucs4y

Data Processing and Text Mining Technologies on Electronic Medical Records: A Review

Wencheng Sun, Zhiping Cai, Yangyang Li, Fang Liu, Shengqun Fang, Guoyan Wang
2018 Journal of Healthcare Engineering  
The task of information extraction for medical texts mainly includes NER (named-entity recognition) and RE (relation extraction).  ...  Currently, medical institutes generally use EMR to record patient's condition, including diagnostic information, procedures performed, and treatment results.  ...  Acknowledgments This work was financially supported by the National Natural Science Foundation of China (Grant no. 61379145) and the Joint Funds of CETC (Grant no. 20166141B08020101).  ... 
doi:10.1155/2018/4302425 pmid:29849998 pmcid:PMC5911323 fatcat:ndofpdouqzatlnayq6prxcvgdq

Extracting important information from Chinese Operation Notes with natural language processing methods

Hui Wang, Weide Zhang, Qiang Zeng, Zuofeng Li, Kaiyan Feng, Lei Liu
2014 Journal of Biomedical Informatics  
In this study, we report the development and evaluation of extracting tumor-related information from operation notes of hepatic carcinomas which were written in Chinese.  ...  Although natural Language Processing (NLP) methods have been profoundly studied in electronic medical records (EMR), few studies have explored NLP in extracting information from Chinese clinical narratives  ...  Topics like Chinese named entity recognition has also been investigated, Jiang and his colleagues did a preliminary work on symptom recognition from traditional Chinese medicine records and proposed some  ... 
doi:10.1016/j.jbi.2013.12.017 pmid:24486562 fatcat:stnylchiqvbo5pt7bwgf4kzxky

A Novel Approach towards Medical Entity Recognition in Chinese Clinical Text

Jun Liang, Xuemei Xian, Xiaojun He, Meifang Xu, Sheng Dai, Jun'yi Xin, Jie Xu, Jian Yu, Jianbo Lei
2017 Journal of Healthcare Engineering  
However, much less work has been done on nonstructural texts that are written in Chinese, or in the setting of differentiation of Chinese drug names between traditional Chinese medicine and Western medicine  ...  Here, we propose a novel cascade-type Chinese medication entity recognition approach that aims at integrating the sentence category classifier from a support vector machine and the conditional random field-based  ...  Ting Chen, and Ms. TingXue Sun for their helpful discussion and suggestions.  ... 
doi:10.1155/2017/4898963 pmid:29065612 pmcid:PMC5516712 fatcat:3nes3lbvhnd3plkgrvfzpi7f3i

Enriching the international clinical nomenclature with Chinese daily used synonyms and concept recognition in physician notes

Rui Zhang, Jialin Liu, Yong Huang, Miye Wang, Qingke Shi, Jun Chen, Zhi Zeng
2017 BMC Medical Informatics and Decision Making  
Two CTCF recognition methods, the rule-and terminology-based approach (RTBA) and the conditional random field machine learner (CRF), were adopted to identify the concepts in physician notes.  ...  With continuous maintenance of SCCSE, the CTCFs could be precisely retrieved from free text, and the CTCFs arranged in semantic hierarchy of SNOMED CT could greatly improve the meaningful use of electronic  ...  Requests for a de-identified version of the dataset may be made to the authors and will be considered on an individual basis.  ... 
doi:10.1186/s12911-017-0455-z pmid:28464923 pmcid:PMC5414139 fatcat:hs7zj572dravzmv5kl3wpi3s6e

Traditional Chinese Medicine Explanatory Models of Depressive Disorders: A Qualitative Study

Wan Kam, Zhang-Jin Zhang, Sofie Bäärnhielm
2019 Culture, Medicine and Psychiatry  
Traditional Chinese medicine (TCM) is an alternative medical system utilised by many Chinese.  ...  Interview texts were transcribed, translated and analysed using qualitative content analysis.  ...  , and reproduction in any medium, provided you give appropriate credit to the original author (s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.  ... 
doi:10.1007/s11013-019-09628-7 pmid:30963358 fatcat:rmtcwwxv3narfkg5itqqwaxrk4

God is in the details: comparative perspectives on the intertwining of religion and assisted reproductive technologies

Charis thompson
2006 Culture, Medicine and Psychiatry  
Traditional Chinese medicine (TCM) is an alternative medical system utilised by many Chinese.  ...  Interview texts were transcribed, translated and analysed using qualitative content analysis.  ...  , and reproduction in any medium, provided you give appropriate credit to the original author (s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.  ... 
doi:10.1007/s11013-006-9035-x pmid:17103329 fatcat:ouwvn6gfkbbezcu5npdqsecxde

Knowledge Management in Healthcare Sustainability: A Smart Healthy Diet Assistant in Traditional Chinese Medicine Culture

Yang Chi, Congcong Yu, Xiaohui Qi, Hao Xu
2018 Sustainability  
In addition, Chinese dietary culture elements and traditional Chinese medicine (TCM) theory are also contained in the knowledge graph.  ...  This work could be regarded as a retrieval and education tool, which can assist healthcare and national sustainable development.  ...  Then, Chinese natural language processing (NLP) technology and the conditional random field (CRF) algorithm were used to extract character strings of entities from the obtained text data.  ... 
doi:10.3390/su10114197 fatcat:lbzhubumw5gpxarhoy4hpgps3u

WHO Trial Registration Data Set (TRDS) extension for traditional Chinese medicine 2020: recommendations, explanation, and elaboration

Xuan Zhang, Liang Lan, Jacky C. P. Chan, Linda L. D. Zhong, Chung-Wah Cheng, Wai-Ching Lam, Ran Tian, Chen Zhao, Tai-Xiang Wu, Hong-Cai Shang, Ai-Ping Lyu, Zhao-Xiang Bian
2020 BMC Medical Research Methodology  
Although the WHO Trial Registration Data Set (TRDS) has been published for many years, the quality of clinical trial registrations with traditional Chinese medicine (TCM) is still not satisfactory, especially  ...  A group of clinical experts, methodologists, epidemiologists, and editors has developed this WHO TRDS-TCM 2020 through a comprehensive process, including the baseline survey, draft of the initial items  ...  The ICD-11 adds a new category of traditional medicine conditions that involve TCM [4] .  ... 
doi:10.1186/s12874-020-01077-w pmid:32680474 fatcat:fx2p3wlj5fgq7iyqchhdzzc4gy

Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review [article]

Irene Li, Jessica Pan, Jeremy Goldwasser, Neha Verma, Wai Pan Wong, Muhammed Yavuz Nuzumlalı, Benjamin Rosand, Yixin Li, Matthew Zhang, David Chang, R. Andrew Taylor, Harlan M. Krumholz (+1 others)
2021 arXiv   pre-print
We focus on a broad scope of tasks, namely, classification and prediction, word embeddings, extraction, generation, and other topics such as question answering, phenotyping, knowledge graphs, medical dialogue  ...  Electronic health records (EHRs), digital collections of patient healthcare events and observations, are ubiquitous in medicine and critical to healthcare delivery, operations, and research.  ...  Early de-identification systems for patient records based on neural networks include LSTMs or LSTM-CRF (conditional random field) models [52, 260] .  ... 
arXiv:2107.02975v1 fatcat:nayhw7gadfdzrovycdkvzy75pi
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