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 …

In the era of big data, text-based medical data, such as electronic health records (EHR) and
electronic medical records (EMR), are growing rapidly. EHR and EMR are collected from …

A large amount of unstructured data has been accumulated in the daily dispatching work of
power systems as the form of text. In order to use these texts effectively, entities in the text …

Objectives Early identification of infection improves outcomes, but developing models for
early identification requires determining infection status with manual chart review, limiting …

Named entity recognition (NER) plays a crucial role in the extraction and utilization of
knowledge of ancient Chinese books. However, the challenges of ancient Chinese NER not …

Intelligent traditional Chinese medicine (TCM) has become a popular research field by
means of prospering of deep learning technology. Important achievements have been made …

The effectiveness of traditional Chinese medicine (TCM) has been proved by various
researches in decades, especially in the COVID-19 pandemic. Numerous TCM-AI …

Chinese medical texts contain a large number of medically named entities. Automatic
recognition of these medical entities from medical texts is the key to developing medical …

In this paper, we propose the first method for automatic Vietnamese medical term discovery
and extraction from clinical texts. The method combines linguistic filtering based on our …

Background: Ancient literature of Traditional Chinese Medicine (TCM) contains massive
clinical experiences which are important ingredient of TCM knowledge and valuable for …