Information extraction from the text data on traditional Chinese medicine: a review on tasks, challenges, and methods from 2010 to 2021
T Zhang, Z Huang, Y Wang, C Wen… - Evidence‐Based …, 2022 - Wiley Online Library
Background. The practice of traditional Chinese medicine (TCM) began several thousand
years ago, and the knowledge of practitioners is recorded in paper and electronic versions …
years ago, and the knowledge of practitioners is recorded in paper and electronic versions …
The systematic assessment of traditional evidence from the premodern Chinese medical literature: a text-mining approach
Objectives: This project aimed to develop an approach to evaluating information contained
in the premodern Traditional Chinese Medicine (TCM) literature that was (1) comprehensive …
in the premodern Traditional Chinese Medicine (TCM) literature that was (1) comprehensive …
Recent advances in the study of ancient books on traditional Chinese medicine
L Gao, CH Jia, W Wang - World Journal of Traditional Chinese …, 2020 - journals.lww.com
The ancient books on traditional Chinese medicine (TCM) are the source of knowledge for
TCM physicians. Therapeutic principles and therapeutic methods for healing many diseases …
TCM physicians. Therapeutic principles and therapeutic methods for healing many diseases …
TCMGeneDIT: a database for associated traditional Chinese medicine, gene and disease information using text mining
Abstract Background Traditional Chinese Medicine (TCM), a complementary and alternative
medical system in Western countries, has been used to treat various diseases over …
medical system in Western countries, has been used to treat various diseases over …
TCMBank: bridges between the largest herbal medicines, chemical ingredients, target proteins, and associated diseases with intelligence text mining
Traditional Chinese Medicine (TCM) has long been viewed as a precious source of modern
drug discovery. AI-assisted drug discovery (AIDD) has been investigated extensively …
drug discovery. AI-assisted drug discovery (AIDD) has been investigated extensively …
Current research trends in traditional Chinese medicine formula: a bibliometric review from 2000 to 2016
YB Chen, XF Tong, J Ren, CQ Yu… - … and Alternative Medicine, 2019 - Wiley Online Library
Background. Traditional Chinese Medicine Formula (TCMF) study has been recognized
widely by medical scientists around the world. However, few researchers have analyzed and …
widely by medical scientists around the world. However, few researchers have analyzed and …
CMeIE: construction and evaluation of Chinese medical information extraction dataset
In this paper, we present the C hinese Me dical I nformation E xtraction (CMeIE) dataset,
consisting of 28, 008 sentences, 85, 282 triplets, 11 entities, and 44 relations derived from …
consisting of 28, 008 sentences, 85, 282 triplets, 11 entities, and 44 relations derived from …
Text mining of the classical medical literature for medicines that show potential in diabetic nephropathy
Objectives. To apply modern text‐mining methods to identify candidate herbs and formulae
for the treatment of diabetic nephropathy. Methods. The method we developed includes …
for the treatment of diabetic nephropathy. Methods. The method we developed includes …
[HTML][HTML] PDF text classification to leverage information extraction from publication reports
DDA Bui, G Del Fiol, S Jonnalagadda - Journal of biomedical informatics, 2016 - Elsevier
Objectives Data extraction from original study reports is a time-consuming, error-prone
process in systematic review development. Information extraction (IE) systems have the …
process in systematic review development. Information extraction (IE) systems have the …
Machine learning approaches in traditional Chinese medicine: a systematic review
H Chen, Y He - The American journal of Chinese medicine, 2022 - World Scientific
Machine learning (ML), as a branch of artificial intelligence, acquires the potential and
meaningful rules from the mass of data via diverse algorithms. Owing to all research of …
meaningful rules from the mass of data via diverse algorithms. Owing to all research of …