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A Review on Different Kinds of Artificial Intelligence Solutions in TCM Syndrome Differentiation Application.

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资源类型：
WOS体系：
Pubmed体系：

收录情况： ◇ SCIE

作者：
Song Yujuan[1] * ; Zhao Bin[2] ; Jia Jun[1] ; Wang Xuebing[3] ; Xu Sibai[1] ; Li Zhenjing[3,4] ; Fang Xu[5] ;
机构： [1]TCM Department, Shenzhen Longhua District Central Hospital, Guanlan Avenue No. 187, Shenzhen, Guangdong, China [2]Rehabilitation Department, &e Second Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin, Heilongjiang, China [3]Rehabilitation Department, Shenzhen Longhua District Central Hospital, Guanlan Avenue No. 187, Shenzhen, Guangdong, China [4]Rehabilitation Department, Hannover Medical School, Carl-Neuberg-Str. 1, Hannover 30625, Germany [5]Human Resources Department, Shenzhen Longhua District Central Hospital, Guanlan Avenue No. 187, Shenzhen, Guangdong, China
出处：
DOI： 10.1155/2021/6654545
ISSN：

摘要：
In 1979, the first computer program for TCM diagnosis was launched, although this time was about 30 years after artificial intelligence (AI) came into being and began to be widely used. However, an endless stream of artificial intelligence methods was applied in the field of Chinese medicine research, expert system, artificial neural network, data mining, and multivariate analysis; not limited to what was mentioned, this study tried to make a review on application of AI to TCM syndrome differentiation, while summarizing the artificial intelligence application of TCM syndrome differentiation in the current context. It also provides a theoretical background for the upcoming fully automated research on TCM syndrome differentiation and diagnosis robot. Copyright © 2021 Yujuan Song et al.

基金：
.e authors acknowledge the fund support (Shenzhen Longhua District High-Level Medical Team Project. Fund ID: LHDCH-DEREHA) to keep on the study and all colleagues in Longhua Central Hospital, who were working in the COVID-19 pandemic situation.
语种：
外文
WOS：
PubmedID：
中科院(CAS)分区：
出版当年[2020]版：
大类 | 4 区 医学
小类 | 3 区 全科医学与补充医学
最新[2025]版：
无
JCR分区：
出版当年[2019]版：
Q3 INTEGRATIVE & COMPLEMENTARY MEDICINE
最新[2023]版：
无

影响因子： 最新[2023版] 最新五年平均 出版当年[2019版] 出版当年五年平均 出版前一年[2018版] 出版后一年[2020版]

第一作者：
第一作者机构： [1]TCM Department, Shenzhen Longhua District Central Hospital, Guanlan Avenue No. 187, Shenzhen, Guangdong, China
通讯作者：
推荐引用方式(GB/T 7714)：
Song Yujuan,Zhao Bin,Jia Jun,et al.A Review on Different Kinds of Artificial Intelligence Solutions in TCM Syndrome Differentiation Application.[J].EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE.2021,2021:doi:10.1155/2021/6654545.
APA：
Song Yujuan,Zhao Bin,Jia Jun,Wang Xuebing,Xu Sibai...&Fang Xu.(2021).A Review on Different Kinds of Artificial Intelligence Solutions in TCM Syndrome Differentiation Application..EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE,2021,
MLA：
Song Yujuan,et al."A Review on Different Kinds of Artificial Intelligence Solutions in TCM Syndrome Differentiation Application.".EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE 2021.(2021)

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