Evidence-Based Complementary and Alternative Medicine

Real-World Big Data Processing and Analysis for Traditional Chinese Medicine


Publishing date
01 Sep 2022
Status
Closed
Submission deadline
22 Apr 2022

Lead Editor

1Beijing Jiaotong University, Beijing, China

2China Academy of Chinese Medical Sciences, Beijing, China

3University of Sydney, Sydney, Australia

4Manchester Metropolitan University, Manchester, UK

This issue is now closed for submissions.
More articles will be published in the near future.

Real-World Big Data Processing and Analysis for Traditional Chinese Medicine

This issue is now closed for submissions.
More articles will be published in the near future.

Description

The concept of real-world studies (RWS has emerged in recent years, differing from traditional randomized controlled trials (RCT) in both design and implementation. Real world data and evidence have become increasingly important in the fields of medical and health decision-making. Traditional Chinese medicine (TCM) is a particular kind of medical science reliant on real-world clinical practices and evidence. Real-world evidence plays an important role in promoting the individualized application of TCM diagnoses and treatment regularities for personalized medicine with optimal effectiveness.

With the development of big data, artificial intelligence, and other information technologies, modern technology provides the platform and conditions for real world research. The progress of big data analysis methods provides opportunities for the collection, preprocessing, and analysis of real-world TCM clinical data. Therefore, big data and artificial intelligence techniques, when integrated with real-world data, are vital in proving the effectiveness and safety of TCM. Specifically, they are suitable for distilling empirical knowledge from highly experienced TCM physicians and finding out the diagnosis and characteristics and regularities of TCM treatment for chronic diseases. In addition, RWS are suitable for the evaluation of new drugs based on classical prescription and the efficacy of non-drug TCM therapy, furthering our understanding of clinical indications and improving the level of rational use.

This Special Issue will focus on topics relating to TCM and covering real-world big data and artificial intelligence techniques and applications, such as real-world data collection, text mining of electronic medical records, medical terminologies and knowledge graphs, data mining and artificial intelligence algorithms and applications, and translational biomedical informatics for TCM diagnosis and treatment. We welcome both original research, including methodology research and real-world based clinical research, and review articles.

Potential topics include but are not limited to the following:

  • Real-world curation and processing of TCM data
  • Quality control and processing of real-world TCM data
  • Clinical terminologies and information standards for real-world TCM data
  • Big data analysis platforms and applications for real-world TCM data
  • Data warehousing and decision support for real-world TCM data
  • Text mining algorithms and applications for electronic medical records
  • Novel artificial intelligence applications for real-world TCM data
  • Clinical effectiveness evaluation studies based on real-world TCM data
  • Translational biomedical informatics for TCM diagnosis and treatment

Articles

  • Special Issue
  • - Volume 2022
  • - Article ID 9539944
  • - Research Article

Analysis of Medication Rule of Primary Epilepsy Based on Xiaocheng Yan’s Clinical Experience Collection of Epilepsy

Yu Zhang | Lin Tong | ... | Pengfei Chang
  • Special Issue
  • - Volume 2022
  • - Article ID 6408073
  • - Research Article

Network Meta-Analysis of Acupoint Catgut Embedding in Treatment of Simple Obesity

Zhuo-yuan Wang | Xiao-yan Li | ... | Zhi-dan Liu
  • Special Issue
  • - Volume 2022
  • - Article ID 2056039
  • - Research Article

Chinese Clinical Named Entity Recognition with ALBERT and MHA Mechanism

Dongmei Li | Jiao Long | ... | Xiaoping Zhang
  • Special Issue
  • - Volume 2022
  • - Article ID 1679589
  • - Review Article

Information Extraction from the Text Data on Traditional Chinese Medicine: A Review on Tasks, Challenges, and Methods from 2010 to 2021

Tingting Zhang | Zonghai Huang | ... | Ying Ye
  • Special Issue
  • - Volume 2022
  • - Article ID 3943920
  • - Research Article

Study on TCM Tongue Image Segmentation Model Based on Convolutional Neural Network Fused with Superpixel

Han Zhang | Rongrong Jiang | ... | Junfeng Zhang
  • Special Issue
  • - Volume 2022
  • - Article ID 1381683
  • - Research Article

Predicting Prognostic Effects of Acupuncture for Depression Using the Electroencephalogram

Xiaomao Fan | Xingxian Huang | ... | Gansen Zhao
  • Special Issue
  • - Volume 2022
  • - Article ID 8693937
  • - Research Article

Decision-Making System for the Diagnosis of Syndrome Based on Traditional Chinese Medicine Knowledge Graph

Rui Yang | Qing Ye | ... | Jing Zou
  • Special Issue
  • - Volume 2022
  • - Article ID 7285312
  • - Research Article

Refined Multiscale Entropy Analysis of Wrist Pulse for Gender Difference in Traditional Chinese Medicine among Young Individuals

Huaxing Xu | Qia Wang | ... | Luqi Huang
  • Special Issue
  • - Volume 2022
  • - Article ID 5103768
  • - Research Article

Effects of Chinese Medicine on the Survival of AIDS Patients Administered Second-Line ART in Rural Areas of China: A Retrospective Cohort Study Based on Real-World Data

Yantao Jin | Miao Zhang | ... | Qianlei Xu
  • Special Issue
  • - Volume 2022
  • - Article ID 8285111
  • - Research Article

Predicting Coupled Herbs for the Treatment of Hypertension Complicated with Coronary Heart Disease in Real-World Data Based on a Complex Network and Machine Learning

Jia-Ming Huan | Yun-Lun Li | ... | Wen-Ge Su
Evidence-Based Complementary and Alternative Medicine
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Acceptance rate27%
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CiteScore3.200
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