Kehan Zhen
ABSTRACT
The literature contains a large amount of diagnosis and treatment information, and manual information extraction will consume a lot of human resources. To solve this problem, information extraction technology is used to automatically extract diagnosis and treatment information from traditional Chinese medicine (TCM) literature, and then explore the medication patterns of diseases. This study takes breast cancer as an example to carry out practice. First, we collected 2104 articles related to breast cancer treated with TCM. Then select the most suitable entity recognition model from multiple information extraction models, and finally obtain the UIE model with an F1 score of 89.69%. The UIE model was used to extract 5 types of entities of Chinese medicine, prescription, syndrome, symptom and disease. Finally, conduct statistical, association, clustering, and other data analysis on the entity. There were 36 prescriptions and 232 flavors of Chinese medicine with high frequency. Most of the four qi, five flavors and channel entry were warm, sweet and liver channel. The core drug pair was ovate atractylodes - codonopsis. Finally, it is concluded that activating qi and blood, soothing liver and invigorating spleen, clearing heat and detoxifying are the basic therapeutic principles of TCM in the treatment of breast cancer, it mainly treats breast cancer by regulating the operation of qi and blood, regulating liver and spleen functions and removing the dampness and heat in the body. This study also explores a new path to automatically extract diagnosis and treatment knowledge from literature by using information extraction technology, and utilizes AI technology to help large-scale medical knowledge discovery.
- Wu Cheng, Xu Lei, Qin Yingyi Exploration of multilevel information extraction methods for Chinese electronic medical records [J]. China Digital Medicine, 2019, 15(06): 29-31.Google Scholar
- Hyuna S,Jacques F,L. R S, Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries [J]. CA: A Cancer Journal for Clinicians, 2021, 71(3).Google Scholar
- Jiang Y. Shugan Bushen Jiedu prescription for prevention and treatment of postoperative recurrence and metastasis of breast cancer [D]. Jinan University, 2014.Google Scholar
- Huang Z, Xu W, Yu K. Bidirectional LSTM-CRF models for sequence tagging [J]. 2015.Google Scholar
- Zengzhen Du, Dongxin Tang, Dan Xie. Automatic Extraction of Clinical Symptoms in Traditional Chinese Medicine for Electronic Medical Records [C]. BIBM 2021: 3784-3790.Google Scholar
- Lu Y, Liu Q, Dai D, Unified Structure Generation for Universal Information Extraction [J]. 2022.Google ScholarCross Ref
- National Pharmacopoeia Commission of the People's Republic of China. Pharmacopoeia of the People's Republic of China [M]. Beijing: China Medical Science and Technology Press, 2020.Google Scholar
- Zhong Gansheng, Chinese Materia Medica [M]. Beijing: China Traditional Chinese Medicine Press, 2016.Google Scholar
- Zuo Jun. Huangqi Guizhi Wuwu Decoction combined with Danggui Shaoyao SAN in the treatment of 75 cases of upper limb edema after breast cancer surgery [J]. World Latest Medical Information Abstracts, 2019, 19 (48): 330-331.Google Scholar
- Zhao Linan, Liu Mingming, Zhao Yi, Effect of promoting blood circulation and removing stasis on glycolysis of breast cancer in rats [J]. Chinese Journal of Traditional Chinese Medicine, 2019, 34 (10): 4852-4855.Google Scholar
- Shi Mengyao, Ma Fangfang, Huang Zhen Research progress of anti-breast cancer mechanism of heat-clearing Chinese medicine [J]. Chinese Journal of Ethnic and Folk Medicine, 2019, 29(07): 56-62.Google Scholar
- Wu Xiaohong, Chen Shiyu, Ye Mingjun, Study on prescription law of primary liver cancer based on implicit structure and Apriori association rule [J]. Journal of Guizhou University of Traditional Chinese Medicine, 2023, 45(01):52-58.Google Scholar
- Guo Tong, Guo Yuxi, Jia Xuemei Analysis on Professor Yang Qian's experience in treating spleen and stomach diseases with ointment prescription [J]. Chinese Journal of Integrated Traditional and Western Medicine Digestion, 2020, 28(07): 549-551.Google Scholar
- Jiang Rongfei, Yang Zhihua, Liu Yan Analysis of drug formulations of Fang Wenyan in the treatment of breast cancer based on data mining [J]. Journal of Yunnan University of Traditional Chinese Medicine, 2019, 42(05): 75-80.Google Scholar
Index Terms
- Study on Rules of Medication in Breast Cancer Based on Literature Information Extraction
Recommendations
Expert system based on neuro-fuzzy rules for diagnosis breast cancer
Research highlights In this study, we have developed an expert system for diagnosing of breast cancer. Inference engine of Ex-DBC system includes neuro fuzzy rules. Ex-DBC system has 97% specificity, 96% positive and 81% negative predictive values. Ex-...
CNN-Based CAD for Breast Cancer Classification in Digital Breast Tomosynthesis
ICGSP '18: Proceedings of the 2nd International Conference on Graphics and Signal ProcessingDigital breast tomosynthesis (DBT) is a promising new technique for breast cancer diagnosis. DBT has the potential to overcome the tissue superimposition problems that occur on traditional mammograms for tumor detection. However, DBT generates numerous ...
Comments