Yang ES, Li P-W, Nilius B, Li G. Ancient Chinese medicine and mechanistic evidence of acupuncture physiology. Pflügers Archiv-Eur J Physiol. 2011;462(5):645–53.
Jiang H, Starkman J, Kuo C-H, Huang M-C. Acu glass: quantifying acupuncture therapy using Google Glass. In: Proceedings of the 10th EAI international conference on body area networks; 2015. p. 4.
Zhu J, Arsovska B, Velickova N, Kozovska K, Nikolovska K. Acupuncture treatment for shoulder bursitis. Imp J Interdiscip Res. 2016;2(12):2.
González-Correa C-A. Toward a binary interpretation of acupuncture theory: principles and practical consequences. J Altern Complement Med. 2004;10(3):573–9.
VanderPloeg K, Yi X. Acupuncture in modern society. J Acupunct Meridian Stud. 2009;2(1):26–33.
Mao J, Zhu B, Wang H. Acupuncture-based treatments on cervical spondylosis of vertebral artery type. TMR Non-Drug Ther. 2021;4(1):7.
Mao JJ, Khanna MM. Integrating acupuncture with Western medicine in cancer treatment. In: Acupuncture and moxibustion as an evidence-based therapy for cancer. Paises Bajos: Springer; 2012. p. 313–28.
Ng LK, Liao SJ. Acupuncture: ancient Chinese and modern Western. A comparative inquiry. J Altern Complement Med. 1997;3(supplement 1):13.
Feng C, Zhou S, Qu Y, Wang Q, Bao S, Li Y, Yang T. Overview of artificial intelligence applications in Chinese medicine therapy. Evid Based Complement Altern Med. 2021;2021:6.
Lam CFD, Leung KS, Heng PA, Lim CED, Wong FWS. Chinese acupuncture expert system (CAES)—a useful tool to practice and learn medical acupuncture. J Med Syst. 2012;36(3):1883–90.
Xie H, Ortiz-Umpierre C. What acupuncture can and cannot treat. J Am Anim Hosp Assoc. 2006;42(4):244–8.
Cheng C-Y, Lin J-G. A brief history of acupuncture: from traditional acupuncturology to experimental acupuncturology. In: Experimental acupuncturology. Singapore: Springer; 2018.
Wong VC-N, Sun J-G, Yeung DW-C. Randomized control trial of using tongue acupuncture in autism spectrum disorder. J Tradit Chin Med Sci. 2014;1(1):62–72.
Zhang Y, Li Y, Guo C. Acupuncture treating heart disease based on eight palaces or eight veins—mathematical reasoning of treatment principle based on Yin Yang Wu Xing theory in traditional Chinese medicine (IV). Chin Med. 2021;12(3):47–117.
Lai CW, Lai YHC. History of epilepsy in Chinese traditional medicine. Epilepsia. 1991;32(3):299–302.
Nagajchuk V, Makats V. Hypothetical bases of the chinese acupuncture as a theoretical issue. Contemp Rehabilit Technol. 2016;2016(3):9.
Peixun Y, Bing G, Yujun X. Meta-analysis of the effect of distal or local point selection on acupuncture efficacy. World J Acupunct Moxib. 2018;28(2):114–20.
Gustavsen G. Acupuncture for musculoskeletal pain. In: Minimally invasive musculoskeletal pain medicine. New York: CRC Press; 2007. p. 87–108.
Sun F, Liu Z, Zhang W. Clinical acupoint selection for the treatment of functional constipation by massage and acupuncture based on smart medical big data analysis. J Healthc Eng. 2021;2021:15.
Hou L, Zhang Z, Song J, Zhao H, Hong W. Knowledge discovery of selection rules for acupuncture points in respiratory diseases therapy based on partial-ordered structure diagrams. In: 2013 third international conference on instrumentation, measurement, computer, communication and control. IEEE; 2013, p. 786–90.
Yu J, Jiang Y, Tu M, Liao B, Fang J. Investigating prescriptions and mechanisms of acupuncture for chronic stable angina pectoris: an association rule mining and network analysis study. Evid Based Complement Altern Med. 2020;2020:11.
Lu P-H, Keng J-L, Tsai F-M, Lu P-H, Kuo C-Y. An Apriori algorithm-based association rule analysis to identify acupoint combinations for treating diabetic gastroparesis. Evid Based Complement Altern Med. 2021;2021:9.
Tang C-J, Rong Z, Yang M-N, Hong X-H, Wang T-B. Rule of acupoint selection for cancer pain based on association rule and entropy clustering. Zhongguo Zhen Jiu. 2020;40(3):331–6.
Qiu X, Zhong X, Zhang H. Applied research on the combination of weighted network and supervised learning in acupoints compatibility. J Healthc Eng. 2021;2021:8.
Zhong X, Jia Y, Li D, Zhang X. Classification of acupuncture points based on the Bert model. J Data Anal Inf Process. 2021;9(3):123–35.
Yin T, He Z-X, Sun R-R, Li Z-J, Yu S-Y, Lan L, Hou J, Zeng F. Progress and prospect of machine learning in research of acupuncture and moxibustion. Zhongguo Zhen Jiu. 2020;40(12):1383–6.
Yu S, Yang J, Yang M, Gao Y, Chen J, Ren Y, Zhang L, Chen L, Liang F, Hu Y. Application of acupoints and meridians for the treatment of primary dysmenorrhea: a data mining-based literature study. Evid Based Complement Altern Med. 2015;2015:8.
Wang K, Tang C, Tian X, Lai X. Law of acupoint selection in treatment for epilepsy based on date mining technology. Liaoning J Tradit Chin Med. 2018;45(10):5.
Xie Y, Li Y, Wang C, Lu M. The optimization and improvement of the Apriori algorithm. In: 2008 international workshop on education technology and training & 2008 international workshop on geoscience and remote sensing. IEEE; 2008. p. 663–5.
Qiu R-R, Zhang H, Zhao D-F, Chen M-Y, Li D, Tan J. Moxibustion, acupoint selection rules of neurogenic dysphagia treated with acupuncture and moxibustion in ancient times. Zhongguo Zhen Jiu. 2020;40(8):891–6.
Lu P-H, Keng J-L, Tsai F-M, Lu P-H, Kuo C-Y. An Apriori algorithm-based association rule analysis to identify acupoint combinations for treating diabetic gastroparesis. Evid Based Complement Altern Med. 2021. https://doi.org/10.1155/2021/6649331.
Liu X-L, Han D-J, Yang X-Y. Analysis of the characteristics of acupoint selection in the treatment of gout by acupuncture. Acupunct Res. 2017;42(6):557–61.
Zhou X, Yang J-Y, Shi R, Ding M-R, Shen P. Rules of acupoint selection in treatment of erectile dysfunction with acupuncture and moxibustion based on data mining technology. Chin Acupunct Moxib. 2022;42(2):215–20.
Lin C-H, Tzeng I-S, Lin Y-H, Kuo C-Y. An association rule analysis of acupressure effect on sleep quality. In: 2021 IEEE international conference on bioinformatics and biomedicine (BIBM). IEEE; 2021. p. 3827–31.
Ji L-J, Xu J-Y, Yang X-J. A study of acupoint selection rules of moxibustion and auricular point therapy in the treatment of urinary retention after anorectal surgery based on data mining. Asian Toxicol Res. 2021;3(1):4.
Xie T. Study on the algorithm model of acupuncture and moxibustion for the treatment of knee osteoarthritis. Chengdu: Department of Acupuncture and Massage, Chengdu University of TCM; 2019. p. 73.
Liu J. Research of the compatibility rules of acupoints based on artificial intelligence algorithm, mathematics. Changchun: Changchun University of Technology; 2016. p. 42.
Liang J, Han M-Y, Wang C-B, Lü X-L, Sun Z-R, Yin H-N. Research progress in the integration of machine learning and acupunctology. Zhen Ci Yan Jiu. 2021;46(6):460–3.
Patil PH, Thube S, Ratnaparkhi B, Rajeswari K. Analysis of different data mining tools using classification, clustering and association rule mining. Int J Comput Appl. 2014;93(8).
Yu H, Li X, Lei X, Wang J. Modulation effect of acupuncture on functional brain networks and classification of its manipulation with EEG signals. J IEEE Trans Neural Syst Rehabilit Eng. 2019;27(10):1973–84.
Gou S-Y, Su C, Wang L, Zhao Y-N, Chen J. Recognition system of acupuncture manipulations based on an array PVDF tactile sensor and machine learning. Zhen Ci Yan Jiu. 2021;46(6):474–9.
Ping L, Wei G, Fang W. Influence of needling hegu (L14) with twirling reinforcing and reducing manipulation on skin temperature of epigastrium. J Tianjin Coll Tradit Chin Med. 2002;21(3):31–3.
Hai L, Zhenzhen W, Yuanyuan G, Zhang C. Study on timing and dosage of acupuncture in stroke treatment. World J Acupunct Moxib. 2018;28(2):121–4.
Gao M, Yang H, Le K, Liu T, Gu X. Effects of manual acupuncture and electroacupuncture on Ca2+ content and Ca2+-ATPase activity in sarcoplasmic reticulum of skeletal muscle cells in rats during acute swimming exercise. Zhen Ci Yan Jiu. 2008;33(1):13–6.
Yang L, Hong F, Yang H-Y. Association rules and classification of acupuncture manipulation data mining. Shanghai J Acupunct Moxib. 2014;33(11):7.
Tang W, Yang H, Liu T, Gao M, Gang X. Study on quantification and classification of acupuncture lifting-thrusting manipulations on the basis of motion video and self-organizing feature map neural network. Shanghai J Acupunct Moxib. 2017;36(8):1012–20.
Hu Y, Yang H, Liu T. Design and implementation of the platform for clustering analysis on acupuncture manipulation parameters. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2010;27(5):991–4.
Liu T, Yang H. Scoring system of ATP-I type acupuncture technique parameter analyser. Shanghai J Acupunct Moxib. 2003;22(5):2.
Tangyi L, Huayuan Y, Xunjie G. Development of model ATP-I acupuncture manipulation parameter determination apparatus. Chin Acupunct Moxib. 2003;23(11):3.
Tu T, Su Y-H, Su C, Wang L, Zhao Y-N, Chen J. Development and application of computer vision-based acupuncture manipulation classification system. Zhen Ci Yan Jiu. 2021;46(6):469–73.
Liu G-H, Tsai M-Y, Chang G-J, Wu C-M, Lin S-K, Chen Y-S, Lee T-Y. Safety assessment of the auto manipulation device for acupuncture in sprague-dawley rats: preclinical evaluation of the prototype. Evid Based Complement Altern Med. 2018;2018:9.
Xu T, Xia Y. Guidance for acupuncture robot with potentially utilizing medical robotic technologies. Evid Based Complement Altern Med. 2021;2021:11.
Zhang Y-Y, Chen Q-L, Wang Q, Ding S-S, Li S-N, Chen S-J, Lin X-J, Li C-D, Asakawa T. Role of parameter setting in electroacupuncture: current scenario and future prospects. Chin J Integr Med. 2020. https://doi.org/10.1007/s11655-020-3269-2.
Zhang J, Li Z, Li Z, Li J, Hu Q, Xu J, Yu H. Progress of acupuncture therapy in diseases based on magnetic resonance image studies: a literature review. Front Hum Neurosci. 2021. https://doi.org/10.3389/fnhum.2021.694919.
Yu S, Xie M, Liu S, Guo X, Tian J, Wei W, Zhang Q, Zeng F, Liang F, Yang J. Resting-state functional connectivity patterns predict acupuncture treatment response in primary dysmenorrhea. Front Neurosci. 2020;14:942.
Yin T, Sun R-R, He Z-X, Ma P-H, Zeng F. Clinical effects of acupuncture treatment in functional dyspepsia based on resting-state functional brain network. China J Tradit Chin Med Pharm. 2020;35(5):4.
Liu J, Mu J, Chen T, Zhang M, Tian J. White matter tract microstructure of the mPFC-amygdala predicts interindividual differences in placebo response related to treatment in migraine patients. Hum Brain Mapp. 2019;40(1):284–92.
Tu Y, Ortiz A, Gollub RL, Cao J, Gerber J, Lang C, Park J, Wilson G, Shen W, Chan S-T. Multivariate resting-state functional connectivity predicts responses to real and sham acupuncture treatment in chronic low back pain. NeuroImage Clin. 2019;23: 101885.
Liu L, Tian T, Li X, Wang Y, Xu T, Ni X, Li X, He Z, Gao S, Sun M. Revealing the neural mechanism underlying the effects of acupuncture on migraine: a systematic review. Front Neurosci. 2021;15:542.
Yin T, Ma P, Tian Z, Xie K, He Z, Sun R, Zeng F. Machine learning in neuroimaging: a new approach to understand acupuncture for neuroplasticity. J Neural Plast. 2020. https://doi.org/10.1155/2020/8871712.
Yang X-J, Liu L, Xu Z-L, Zhang Y-J, Liu D-P, Fishers M, Zhang L, Sun J-B, Liu P, Zeng X. Baseline brain gray matter volume as a predictor of acupuncture outcome in treating migraine. Front Neurol. 2020;11:111.
Mu J, Chen T, Quan S, Wang C, Zhao L, Liu J. Neuroimaging features of whole-brain functional connectivity predict attack frequency of migraine. Hum Brain Mapp. 2020;41(4):984–93.
Yin T, Sun G, Tian Z, Liu M, Gao Y, Dong M, Wu F, Li Z, Liang F, Zeng F. The spontaneous activity pattern of the middle occipital gyrus predicts the clinical efficacy of acupuncture treatment for migraine without aura. Front Neurol. 2020;11:1361.
Tu Y, Zeng F, Lan L, Li Z, Maleki N, Liu B, Chen J, Wang C, Park J, Lang C. An fMRI-based neural marker for migraine without aura. Neurology. 2020;94(7):e741–51.
Wei X-Y, Zhang N, Li J-L, Shi G-X, Wang L-Q, Tu J-F, Liu C-Z, Wang X. Current studies on biomarkers of acupuncture analgesia using magnetic resonance imaging combining with machine learning. Acupunct Res. 2021;46(6):5.