Preface
The past decades have witnessed the rapid advancements of computational intelligence techniques, including big data, machine learning, and knowledge engineering, in both industrial and academic communities. Specifically, with the diffusion of some computing paradigms such as natural language processing, knowledge graph, reasoning decision, it promotes the computer-assisted diagnosis and treatment in Traditional Chinese Medicine (TCM). Through the integration of our research achievements in the field of intelligent information processing on TCM over the last decade, this book introduces the data processing technologies in TCM medical records and TCM medication, the medical records-based knowledge acquisition, the text-based knowledge acquisition, and the applications of TCM knowledge. We would like to provide a guidance for graduate students, university teachers and professional technicians engaged in knowledge engineering and TCM informatization. 
We thank AI Dongmei,CHEN Hongyun, CHEN Xingxing, CHEN Yujia, FAN Yumei, FENG Jim, GAO Lixin, HA Shuang, HU Liangyuan, HU Xiaohui, JIA Qi, LI Cheng, LI Daole, LI Jianyuan, LIU Kan, LIU Jianming, LUO Xiong, MA Yuekun, QIAN Yanxuan, SHAN Ping, SONG Zihao, SUN Yi, XIA Chao, XU Cong, XU Yan, XU Yang, YAN Chang, YAN Yuyang, YANG Shibing, ZANG Honglei, ZHANG Huansheng, ZHANG Jing, ZHANG Yuanyu, ZHAO Yincheng, ZHOU Yuchao and ZHOU Yue for helping us accomplish the work.
Thanks to the graduate students in the laboratory: ZHAN Yuxiao, FAN Xinxin, LI Jia, LI Xuliang, TAO Hu, TU Ruwei, XU Haifeng, YANG Lijia and YANG Juwang, for their work on data compilation.
This work is funded by the Ministry of Science and Technology of People's Republic of China (National Key Research and Development Program of China: 2017YFB1002304).