传感器融合
化学计量学
计算机科学
数据处理
中医药
数据挖掘
融合
数据科学
人工智能
系统工程
机器学习
工程类
医学
数据库
哲学
病理
替代医学
语言学
作者
Rui Huang,Shuang‐Cheng Ma,Shengyun Dai,Jian Zheng
出处
期刊:Sensors
[MDPI AG]
日期:2023-12-25
卷期号:24 (1): 106-106
被引量:10
摘要
Traditional Chinese medicine is characterized by numerous chemical constituents, complex components, and unpredictable interactions among constituents. Therefore, a single analytical technique is usually unable to obtain comprehensive chemical information. Data fusion is an information processing technology that can improve the accuracy of test results by fusing data from multiple devices, which has a broad application prospect by utilizing chemometrics methods, adopting low-level, mid-level, and high-level data fusion techniques, and establishing final classification or prediction models. This paper summarizes the current status of the application of data fusion strategies based on spectroscopy, mass spectrometry, chromatography, and sensor technologies in traditional Chinese medicine (TCM) in light of the latest research progress of data fusion technology at home and abroad. It also gives an outlook on the development of data fusion technology in TCM analysis to provide references for the research and development of TCM.
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