Acknowledgement
이 논문은 2020년도 정부(미래창조과학부)의 재원으로 한국연구재단의 지원을 받아 수행된 기초연구사업임(No.2020R1F1A1075145)
References
- Sun DZ, Li SD, Liu Y, et al. Differences in the origin of philosophy between Chinese medicine and western medicine: exploration of the holistic advantages of Chinese medicine. Chinese Journal of Integrative Medicine. 2013;19(9):706-11. https://doi.org/10.1007/s11655-013-1435-5
- Chan K. Progress in traditional Chinese medicine. Trends in pharmacological sciences. 1995;16(6):182-7. https://doi.org/10.1016/S0165-6147(00)89019-7
- Zhang J, Zheng Y, Wang Y, et al. Evidence of a synergistic effect of acupoint combination: a resting-state functional magnetic resonance imaging study. The Journal of Alternative and Complementary Medicine. 2016;22(10):800-9. https://doi.org/10.1089/acm.2016.0016
- Tian P. Convergence: where west meets east. Nature. 2011;480(7378):S84-S6. https://doi.org/10.1038/480S84a
- Park WY, Sin MG, Kim WH. A Study on the Application of System Theory to Oriental Medicine. The Journal of Korean Medicine. 1994;15(2):412-28.
- Kim CE, Lee CY. An Encounter of Korean Medicine with Systems Biology: Meanings and Prospects. Journal of Physiology & Pathology in Korean Medicine. 2016;30(6):370-5. https://doi.org/10.15188/kjopp.2016.12.30.6.370
- Complex systems. Nature. 2001;410(6825):241. https://doi.org/10.1038/35065672
- Ma Y, Zhou K, Fan J, Sun S. Traditional Chinese medicine: potential approaches from modern dynamical complexity theories. Frontiers of Medicine. 2016;10(1):28-32. https://doi.org/10.1007/s11684-016-0434-2
- Weaver W. Science and complexity. American Scientist. 1948;36(4):536-44.
- Kim MS. Empirical Study on Complex Systematic Emergent Behaviors Revealed in Architectural and Urban Spaces. Journal of the Architectural Institute of Korea Planning & Design. 2010;26(10):175-82.
- Godfrey-Smith P. Philosophy of biology: Princeton University Press; 2013.
- Tavassoly I, Goldfarb J, Iyengar R. Systems biology primer: the basic methods and approaches. Essays in Biochemistry. 2018;62(4):487-500. https://doi.org/10.1042/ebc20180003
- Agrawal S, Barrington L, Bromberg C, et al. Machine learning for precipitation nowcasting from radar images. arXiv preprint arXiv:191212132. 2019.
- Jumper J, Evans R, Pritzel A, et al. Highly accurate protein structure prediction with AlphaFold. Nature. 2021;596(7873):583-9. https://doi.org/10.1038/s41586-021-03819-2
- Watts DJ, Strogatz SH. Collective dynamics of 'small-world'networks. Nature. 1998;393(6684):440-2. https://doi.org/10.1038/30918
- Barabasi A-L, Albert R, Jeong H. Mean-field theory for scale-free random networks. Physica A: Statistical Mechanics and its Applications. 1999;272(1):173-87. https://doi.org/10.1016/S0378-4371(99)00291-5
- Barabasi A-L, Albert R, Jeong H. Scale-free characteristics of random networks: the topology of the world-wide web. Physica A: statistical mechanics and its applications. 2000;281(1-4):69-77. https://doi.org/10.1016/S0378-4371(00)00018-2
- Borgatti SP, Mehra A, Brass DJ, Labianca G. Network analysis in the social sciences. Science. 2009;323(5916):892-5. https://doi.org/10.1126/science.1165821
- Albert R. Scale-free networks in cell biology. Journal of Cell Science. 2005;118(21):4947-57. https://doi.org/10.1242/jcs.02714
- Feldman R, Sanger J. The text mining handbook: advanced approaches in analyzing unstructured data: Cambridge university press; 2007.
- Antonie M-L, Zaiane OR, Coman A, editors. Application of data mining techniques for medical image classification. Proceedings of the Second International Conference on Multimedia Data Mining; 2001.
- Hopkins AL. Network pharmacology: the next paradigm in drug discovery. Nature Chemical Biology. 2008;4(11):682-90. https://doi.org/10.1038/nchembio.118
- Li S. Network target: a starting point for traditional Chinese medicine network pharmacology. China Journal of Chinese Materia Medica. 2011;36(15):2017-20.
- Park J, Jang D, Phung HM, et al. The potential of pharmacological activities of the multi-compound treatment for GERD: literature review and a network pharmacology-based analysis. Applied Biological Chemistry. 2021;64(1):1-17.
- Xu M, Shi J, Min Z, Zhu H, Sun W. A Network Pharmacology Approach to Uncover the Molecular Mechanisms of Herbal Formula Kang-Bai-Ling for Treatment of Vitiligo. Evidence-Based Complementary and Alternative Medicine. 2019;2019:3053458.
- Jiang Y, Liu N, Zhu S, et al. Elucidation of the Mechanisms and Molecular Targets of Yiqi Shexue Formula for Treatment of Primary Immune Thrombocytopenia Based on Network Pharmacology. Frontiers in Pharmacology. 2019;10:1136. https://doi.org/10.3389/fphar.2019.01136
- Lee WY, Lee CY, Kim CE, Kim JH. Investigating the Biomarkers of the Sasang Constitution via Network Pharmacology Approach. Evidence-Based Complementary and Alternative Medicine. 2021;2021:6665130.
- Society of Professors of Physiology in Korean Medicine. Physiology of Oriental Medicine: Jipmoondang; 2008.
- Shin JY, Choi SH, Choi DW, et al. Differential Gene Expression by RNA-Seq Analysis of the Primo Vessel in the Rabbit Lymph. Journal of Acupuncture and Meridian Studies. 2019;12(1):11-9. https://doi.org/10.1016/j.jams.2018.10.008
- Lee S, Ryu Y, Cha J, et al. Primo vessel inside a lymph vessel emerging from a cancer tissue. Journal of Acupuncture and Meridian Studies. 2012;5(5):206-9. https://doi.org/10.1016/j.jams.2012.07.003
- Liu L, Tian T, Li X, et al. Revealing the Neural Mechanism Underlying the Effects of Acupuncture on Migraine: A Systematic Review. Frontiers in Neuroscience. 2021;15(542).
- Lee YS, Ryu Y, Yoon DE, et al. Commonality and Specificity of Acupuncture Point Selections. Evidence-Based Complementary and Alternative Medicine. 2020;2020:2948292.
- Cai RL, Shen GM, Wang H, Guan YY. Brain functional connectivity network studies of acupuncture: a systematic review on resting-state fMRI. Journal of Integrative Medicine. 2018;16(1):26-33. https://doi.org/10.1016/j.joim.2017.12.002
- Chaochao Y, Li W, Lihong K, et al. Acupoint combinations used for treatment of Alzheimer's disease: A data mining analysis. Journal of Traditional Chinese Medicine. 2018;38(6):943-52. https://doi.org/10.1016/S0254-6272(18)30995-6
- Zhang Z, Li J, Zheng W, et al. Research on Diagnosis Prediction of Traditional Chinese Medicine Diseases Based on Improved Bayesian Combination Model. Evidence-Based Complementary and Alternative Medicine. 2021;2021:5513748.
- Huang M, Wang J, Zhang R, et al. Symptom network topological features predict the effectiveness of herbal treatment for pediatric cough. Frontiers of Medicine. 2020;14(3):357-67. https://doi.org/10.1007/s11684-019-0699-3
- Shu Z, Liu W, Wu H, et al. Symptom-based network classification identifies distinct clinical subgroups of liver diseases with common molecular pathways. Comput Methods Programs Biomed. 2019;174:41-50. https://doi.org/10.1016/j.cmpb.2018.02.014
- Park SY, Park M, Lee WY, et al. Machine learning-based prediction of Sasang constitution types using comprehensive clinical information and identification of key features for diagnosis. Integrative Medicine Research. 2021;10(3):100668. https://doi.org/10.1016/j.imr.2020.100668
- Bae HJ, Kim CE, Lee CY, Shin SW, Kim JH. Investigation of the Possibility of Research on Medical Classics Applying Text Mining-Focusing on the Huangdi's Internal Classic. Journal of Korean Medical classics. 2018;31(4):27-46. https://doi.org/10.14369/JKMC.2018.31.4.027
- Jang DY, Oh KC, Jung ES, et al. Diversity of Acupuncture Point Selections According to the Acupuncture Styles and Their Relations to Theoretical Elements in Traditional Asian Medicine: A Data-Mining-Based Literature Study. Journal of Clinical Medicine. 2021;10(10).
- Jang D, Ha Y, Lee CY, Kim CE. Analysis of Symptoms-Herbs Relationships in Shanghanlun Using Text Mining Approach. Journal of Physiology & Pathology in Korean Medicine. 2020;34(4):159-69. https://doi.org/10.15188/kjopp.2020.08.34.4.159
- Lee T, Jung WM, Lee IS, et al. Data Mining of Acupoint Characteristics from the Classical Medical Text: DongUiBoGam of Korean Medicine. Evidence-Based Complementary and Alternative Medicine. 2014;2014:329563. https://doi.org/10.1155/2014/329563
- Do JH, Jang E, Ku B, et al. Development of an integrated Sasang constitution diagnosis method using face, body shape, voice, and questionnaire information. BMC complementary and alternative medicine. 2012;12(1):1-9. https://doi.org/10.1186/1472-6882-12-1
- Ryu H, Lee H, Kim H, Kim J. Reliability and validity of a cold-heat pattern questionnaire for traditional Chinese medicine. The Journal of Alternative and Complementary Medicine. 2010;16(6):663-7. https://doi.org/10.1089/acm.2009.0331
- Lee S, Park J, Lee H, Kim K. Development and validation of Yin-deficiency questionnaire. The American Journal of Chinese Medicine. 2007;35(01):11-20. https://doi.org/10.1142/S0192415X07004576
- Lin JD, Lin JS, Chen LL, et al. BCQs: a body constitution questionnaire to assess stasis in traditional Chinese medicine. European Journal of Integrative Medicine. 2012;4(4):e379-e91. https://doi.org/10.1016/j.eujim.2012.05.001
- Christakis NA, Fowler JH. The spread of obesity in a large social network over 32 years. New England Journal of Medicine. 2007;357(4):370-9. https://doi.org/10.1056/NEJMsa066082
- Kim C, Lim B, Park H, et al. The new category system of yangseng for Korean medicine. Journal of Society of Preventive Korean Medicine. 2015;19(1):23-33.
- Huaping P. Taijiquan for hypertension: A systematic review and meta-analysis. Annals of Physical and Rehabilitation Medicine. 2018;61:e464-e5. https://doi.org/10.1016/j.rehab.2018.05.1085
- Innes KE, Selfe TK, Kandati S, Wen S, Huysmans Z. Effects of mantra meditation versus music listening on knee pain, function, and related outcomes in older adults with knee osteoarthritis: an exploratory Randomized Clinical Trial (RCT). Evidence-Based Complementary and Alternative Medicine. 2018;2018.
- Weitlauf AS, Broderick N, Stainbrook JA, et al. Mindfulness-based stress reduction for parents implementing early intervention for autism: an RCT. Pediatrics. 2020;145(Supplement 1):S81-S92. https://doi.org/10.1542/peds.2019-1895K
- Bender D, Sartipi K, editors. HL7 FHIR: An Agile and RESTful approach to healthcare information exchange. Proceedings of the 26th IEEE international symposium on computer-based medical systems; 2013: IEEE.
- Hyundai Motor Group. What If Your Car Becomes a Clinic? HMG Journal. 2020 Feb. [cited 2021 Aug.] Available from: https://news.hyundaimotorgroup.com/Article/What-If-Your-Car-Becomes-a-Clinic.
- Perera S, Bell MG, Bliemer MC. Network science approach to modelling the topology and robustness of supply chain networks: a review and perspective. Applied Network Science. 2017;2(1):1-25. https://doi.org/10.1007/s41109-016-0020-1
- Cordeiro M, Sarmento RP, Brazdil P, Gama J. Evolving networks and social network analysis methods and techniques. Social Media and Journalism-Trends, Connections, Implications. 2018:101-34.
- Ko YK, Lou JK, Li CT, Lin SD, Jeng SK. A social network evolution model based on seniority. Social Network Analysis and Mining. 2012;2(2):107-19. https://doi.org/10.1007/s13278-011-0036-6
- Wu L-R, Yan Q. Modeling dynamic evolution of online friendship network. Communications in Theoretical Physics. 2012;58(4):599. https://doi.org/10.1088/0253-6102/58/4/26
- Den Hartigh RJR, Van Dijk MWG, Steenbeek HW, Van Geert PLC. A Dynamic Network Model to Explain the Development of Excellent Human Performance. Frontiers in Psychology. 2016;7(532).
- Rabadan R, Mohamedi Y, Rubin U, et al. Identification of relevant genetic alterations in cancer using topological data analysis. Nature Communications. 2020;11(1):3808. https://doi.org/10.1038/s41467-020-17659-7
- Martino A, Rizzi A, Mascioli FMF, editors. Supervised Approaches for Protein Function Prediction by Topological Data Analysis. 2018 International Joint Conference on Neural Networks (IJCNN); 2018 8-13 July 2018.
- Lewis JD, Evans AC, Pruett JR, et al. The Emergence of Network Inefficiencies in Infants With Autism Spectrum Disorder. Biological Psychiatry. 2017;82(3):176-85. https://doi.org/10.1016/j.biopsych.2017.03.006
- Bassett DS, Xia CH, Satterthwaite TD. Understanding the Emergence of Neuropsychiatric Disorders With Network Neuroscience. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging. 2018;3(9):742-53. https://doi.org/10.1016/j.bpsc.2018.03.015
- do Valle IF, Roweth HG, Malloy MW, et al. Network medicine framework shows that proximity of polyphenol targets and disease proteins predicts therapeutic effects of polyphenols. Nature Food. 2021;2(3):143-55. https://doi.org/10.1038/s43016-021-00243-7
- Lee WY, Lee CY, Kim CE. Predicting activatory and inhibitory drug-target interactions based on mol2vec and genetically perturbed transcriptomes. bioRxiv. 2021.