Machine learning and medical education

VB Kolachalama, PS Garg - NPJ digital medicine, 2018 - nature.com
Artificial intelligence (AI) driven by machine learning (ML) algorithms is a branch in computer
science that is rapidly gaining popularity within the healthcare sector. Recent regulatory …

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 …

Development of traditional Chinese medicine clinical data warehouse for medical knowledge discovery and decision support

X Zhou, S Chen, B Liu, R Zhang, Y Wang, P Li… - Artificial Intelligence in …, 2010 - Elsevier
OBJECTIVE: Traditional Chinese medicine (TCM) is a scientific discipline, which develops
the related theories from the long-term clinical practices. The large-scale clinical data are the …

Classification-based strategies to simplify complex traditional Chinese medicine (TCM) researches through liquid chromatography-mass spectrometry in the last …

YH Chen, JH Bi, M Xie, H Zhang, ZQ Shi, H Guo… - … of Chromatography A, 2021 - Elsevier
The difficulty of traditional Chinese medicine (TCM) researches lies in the complexity of
components, metabolites, and bioactivities. For a long time, there has been a lack of …

Machine learning in medicine

C Gui, V Chan - University of Western Ontario Medical Journal, 2017 - ojs.lib.uwo.ca
Abstract Machine learning (ML) is a powerful and flexible tool that can be used to analyze
and predict outcomes from biological and clinical data. ML models have the potential to …

The need to separate the wheat from the chaff in medical informatics: Introducing a comprehensive checklist for the (self)-assessment of medical AI studies

F Cabitza, A Campagner - International Journal of Medical Informatics, 2021 - Elsevier
This editorial aims to contribute to the current debate about the quality of studies that apply
machine learning (ML) methodologies to medical data to extract value from them and …

Computational traditional Chinese medicine diagnosis: a literature survey

Q Zhang, J Zhou, B Zhang - Computers in Biology and Medicine, 2021 - Elsevier
Abstract Background and objective Traditional Chinese Medicine (TCM) diagnosis is based
on the theoretical principles and knowledge, where it is steeped in thousands of years of …

The current status of old traditional medicine introduced from Persia to China

J Shi, Y Yang, X Zhou, L Zhao, X Li, A Yusuf… - Frontiers in …, 2022 - frontiersin.org
Traditional Chinese medicine (TCM) includes over ten thousand herbal medicines, some of
which were introduced from outside countries and territories. The Silk Road enabled the …

[HTML][HTML] Predicting Meridian in Chinese traditional medicine using machine learning approaches

Y Wang, M Jafari, Y Tang, J Tang - PLoS computational biology, 2019 - journals.plos.org
Plant-derived nature products, known as herb formulas, have been commonly used in
Traditional Chinese Medicine (TCM) for disease prevention and treatment. The herbs have …

Perspectives of international multi-center clinical trials on traditional Chinese herbal medicine

S Wu, C Wang, D Bai, N Chen, J Hu… - Frontiers in …, 2023 - frontiersin.org
With the introduction of various subjects, such as clinical epidemiology and evidence-based
medicine, the qualities and levels of Traditional Chinese Herbal Medicine (TCHM) in China …