The PAMI Research Group, Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macau SAR, People's Republic of China.
The PAMI Research Group, Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macau SAR, People's Republic of China.
Comput Biol Med. 2021 Jun;133:104358. doi: 10.1016/j.compbiomed.2021.104358. Epub 2021 Mar 28.
Traditional Chinese Medicine (TCM) diagnosis is based on the theoretical principles and knowledge, where it is steeped in thousands of years of history to diagnose various types of diseases and syndromes. It can be generally divided into four main diagnostic approaches: 1. Inspection, 2. Auscultation and olfaction, 3. Inquiry, and 4. Palpation, which are widely used in TCM hospitals in China and around the world. With the development of intelligent computing technology in recent years, computational TCM diagnosis has grown rapidly.
In this paper, we aim to systematically summarize the development of computational TCM diagnosis based on four diagnostic approaches, mainly focusing on digital acquisition devices, collected datasets, and computational detection approaches (algorithms). Furthermore, all related works of this field are compared and explored in detail.
This survey provides the principles, applications, and current progress in computing for readers and researchers in terms of computational TCM diagnosis. Moreover, the future development direction, prospect, and technological trend of computational TCM diagnosis will also be discussed in this study.
Recent computational TCM diagnosis works are compared in detail to show the pros/cons, where we provide some meaningful suggestions and opinions on the future research approaches in this area. This work is useful for disease detection in computational TCM diagnosis as well as health management in the smart healthcare area.
Computational diagnosis, Traditional Chinese Medicine, survey, smart healthcare.
中医（TCM）诊断基于理论原理和知识，其历史悠久，可用于诊断各种疾病和证候。中医诊断通常可分为四种主要方法：1. 望诊，2. 听诊和嗅诊，3. 问诊，4. 切诊，这些方法在中国和世界各地的中医医院中广泛应用。近年来，随着智能计算技术的发展，计算中医诊断也迅速发展。
本文旨在系统总结基于四种诊断方法的计算中医诊断的发展，主要关注数字采集设备、采集数据集和计算检测方法（算法）。此外，还详细比较和探讨了该领域的所有相关工作。
本调查为读者和研究人员提供了计算中医诊断方面的原理、应用和最新进展。此外，还讨论了计算中医诊断的未来发展方向、前景和技术趋势。
详细比较了最近的计算中医诊断工作，展示了各自的优缺点，并对该领域未来的研究方法提出了一些有意义的建议和意见。这项工作对于计算中医诊断中的疾病检测以及智能医疗保健领域的健康管理都很有用。
计算诊断、中医、调查、智能医疗保健。
