Parallel Gastrointestine: An ACP-Based Approach for Intelligent Operations
ZHANG Mei1,2, CHEN Ling4, WANG Fei-Yue1,2,5, WANG Xiao1,3, GUO Yuanyuan2, YANG Tian5
1.The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190; 2.Institute of Smart Healthcare Systems, Qingdao Academy ofIntelligent Industries, Qingdao 266000; 3.Parallel Workshop, Qingdao Academy of Intelligent Industries, Qingdao 266000; 4.Gastoenterology, Xiangya Hospital Central South University,Changsha 410008; 5.College of Information Science and Engineering, Hunan Normal University, Changsha 410081
Abstract The gastrointestinal system is an important organ for human to pick up energy from the foreign world. Causes of gastrointestinal diseases are multifactorial and complex. To develop intelligent and precise gastrointestinal diagnosis and excellent medical skills, a parallel gastrointestinal diagnosis system based on ACP theory is imposed in this paper. As the core of the parallel intelligence framework, the ACP theory consists of an artificial societies(A), computational experiments(C) and parallel execution(P). The artificial gastrointestinal systems are used to model the real complex diagnosis and treatment. The computational experiments are utilized to run various operations and evaluate the performance of results. Finally, the parallel execution is performed to constantly optimize the diagnosis schemes and realize virtual-real interaction guided diagnosis. With technologies of knowledge graph, deep learning, reality/augment reality and knowledge automation, the parallel gastrointestinal system is aimed to improve the accuracy and the efficiency of diagnosis and treatment, and contribute to a high level of national health.
Fund:Supported by Key Program of National Natural Science Foundation of China(No.61533019,71232006,61233001), National Natural Science Foundation of China(No.61702519,61309024,61605240), Hunan Provincial Key Research and Development Program(No.2018SK2129), Program for Entrepreneurial and Innovative Leading Talents of Qingdao City（No.1510315(46)zch)
Corresponding Authors:
WANG Fei-Yue, Ph.D., professor. His research interests include modeling, analysis, and control of inte-lligent systems and complex systems.
About author:: ZHANG Mei, Ph.D., associate professor. Her research interests include optical design, 3D imaging acquisition and 3D imaging display.CHEN Ling, Ph.D., associate chief physician. His research interests include gastrointestinal cancinoma.WANG Xiao, Ph.D., associate professor. Her research interests include social computing, knowledge automation, knowledge robots, social transportation and parallel intelligence.GUO yuanyuan, master, senior engineer. Her research interests include parallel medicine, parallel diagnosis and treatment, smart healthcare, engineering management and software engineering.YANG Tian, Ph.D., associate professor. Her research interests include granular computing, topology, parallel systems, data reduction and feature selection.
[1] PETERSON C,BELL R, KLAG K A, et al. T Cell-Mediated Regulation of the Microbiota Protects against Obesity. Science, 2019, 365(6451). DOI: 10.1126/science.aat9351. [2] KUANG Z, WANG Y H, LI Y, et al. The Intestinal Microbiota Programs Diurnal Rhythms in Host Metabolism through Histone Deacetylase 3. Science, 2019, 365(6460): 1428-1434. [3] GALKIN F, ALIPER A, PUTIN E, et al. Human Microbiome Aging Clocks Based on Deep Learning and Tandem of Permutation Feature Importance and Accumulated Local Effects[C/OL]. [2019-11-25]. https://www.biorxiv.org/content/10.1101/507780v1 [4] SHAO Y, FORSTER S C, TSALIKI E, et al. Stunted Microbiota and Opportunistic Pathogen Colonization in Caesarean-Section Birth. Nature, 2019, 574: 117-121. [5] 王飞跃.平行系统方法与复杂系统的管理和控制.控制与决策,2004, 19(5): 485-489. (WANG F Y. Parallel System Methods for Management and Control of Complex Systems. Control and Decision, 2004, 19(5): 485-489.) [6] WANG F Y. Parallel Control and Management for Intelligent Transportation Systems: Concepts, Architectures, and Applications. IEEE Transactions on Intelligent Transportation Systems, 2010, 11(3): 630-638. [7] 王飞跃.平行控制:数据驱动的计算控制方法.自动化学报, 2013, 39(4): 293-302. (WANG F Y. Parallel Control: A Method for Data-Driven and Computational Control. Acta Automatica Sinica, 2013, 39(4): 293-302.) [8] 王飞跃.平行医学与平行健康:迈向智能医学和智慧健康的智能科技.智能产业发展战略报告.青岛:青岛智能产业技术研究院(QAII), 2014. (WANG F Y. Parallel Medicine and Parallel Health: Technologies towards Intelligent Medicine and Intelligent Health. Reports on the Development of Intelligent Industry. Qingdao, China: Qingdao Academy of Intelligent Industries(QAII), 2014.) [9] 王飞跃.平行医学 // 亚太痛风联盟成立大会&第七届东方痛风论坛.哈尔滨:哈尔滨医科大学附属第四医院, 2017. (WANG F Y. Parallel Medicine // Reports on the Asia Pacific Gout Conference & the 7th East Gout Forum. Harbin, China: The Fourth Affiliated Hospital of Harbin Medical University, 2017.) [10] 王飞跃.人工社会、计算实验、平行系统—关于复杂社会经济系统计算研究的讨论.复杂系统与复杂性科学, 2004, 1(4): 25-35. (WANG F Y. Artificial Societies, Computational Experiments and Parallel Systems: A Discussion on computational Theory of Complex Social-Economic Systems. Complex Systems and Complexity Science, 2004, 1(4): 25-35.) [11] HINTON G E, OSINDERO S, TEH Y W. A Fast Learning Algorithm for Deep Belief Nets. Neural Computation, 2006, 18(7): 1527-1554. [12] GENG Z. Review of Three-Dimensional Endoscopic Surface Imaging Techniques. IEEE Sensor Journal, 2014, 14(4): 945-960. [13] POWLES J, HODSON H. Google Deep Mind and Healthcare in an Age of Algorithms. Health and Technology, 2017, 7(4): 351-367. [14] BAHL M, BARZILAT R, YEDIDIA A B, et al. High-Risk Breast Lesions: A Machine Learning Model to Predict Pathologic Upgrade and Reduce Unnecessary Surgical Excision. Radiology, 2018, 286(3): 810-818. [15] LEONARD S, WU K L, KIM Y, et al. Smart Tissue Anastomosis Robot(STAR): A Vision-Guided Robotics System for Laparoscopic Suturing. IEEE Transactions on Biomedical Engineering, 2014, 61(4): 1305-1317. [16] SPELT L, NILSSON J, ANDERSSON R, et al. Artificial Neural Networks-A Method for Prediction of Survival Following Liver Resection for Colorectal Cancer Metastases. European Journal of Surgical Oncology, 2013, 39(6): 648-654. [17] 王飞跃.计算实验方法与复杂系统行为分析和决策评估.系统仿真学报, 2004, 16(5): 893-897. (WANG F Y. Computational Experiments for Behavior Analysis and Decision Evaluation of Complex Systems. Journal of System Simulation, 2004, 16(5): 893-897.) [18] WANG F Y. Parallel Control and Management for Intelligent Transportation Systems: Concepts, Architectures, and Applications. IEEE Transactions on Intelligent Transportation Systems, 2010, 11(3): 630-638. [19] 宁 滨,王飞跃,董海荣,等.高速铁路平行控制与管理系统研究框架.复杂系统与复杂性科学, 2010, 7(4): 11-21. (NING B, WANG F Y, DONG H R, et al. Framework of Parallel Control and Management for High Speed Railway Systems. Complex Systems and Complexity Science, 2010, 7(4): 11-21. ) [20] WANG F Y. Parallel Driving with Software Vehicular Robots for Safety and Smartness. IEEE Transactions on Intelligent Transportation Systems, 2014, 15(4): 1381-1387. [21] WANG F Y, YANG L Q, YANG J, et al. Urban Intelligent Par-king System Based on the Parallel Theory // Proc of the International Conference on Computing, Networking and Communications. Washington, USA: IEEE, 2016. DOI: 10. 1109/ ICCNC. 2016. 7440708. [22] WANG F Y, ZHENG N N, CAO D P, et al. Parallel Driving in CPSS: A Unified Approach for Transport Automation and Vehicle Intelligence. IEEE/CAA Journal of Automatica Sinica, 2017, 4(4): 577-587. [23] KANG M Z, WANG F Y. From Parallel Plants to Smart Plants: Intelligent Control and Management for Plant Growth. IEEE/CAA Journal of Automatica Sinica, 2017, 4(2): 161-166. [24] GONG X Y, LIU X W, JING S F, et al. Parallel Education Systems under Perspective of System Construction for New IT Era[C/OL]. [2019-11-25]. https://www.researchgate.net/publication/320797444. [25] WANG F Y, WANG X, LI L X, et al. Steps toward Parallel Inte-lligence. IEEE/CAA Journal of Automatica Sinica, 2016, 3(4): 345-348. [26] 王飞跃,邱晓刚,曾大军,等.基于平行系统的非常规突发事件计算实验平台研究.复杂系统与复杂性科学, 2010, 7(4): 1-10. (WANG F Y, QIU X G, ZENG D J, et al. A Computational Experimental Platform for Emergency Response Based on Parallel Systems. Complex Systems and Complexity Science, 2010, 7(4): 1-10.) [27] 王飞跃.软件定义的系统与知识自动化:从牛顿到莫顿的平行升华.自动化学报, 2015, 41(1): 1-8. (WANG F Y. Software-Defined Systems and Knowledge Automation: A Parallel Paradigm Shift from Newton to Merton. Acta Automatica Sinica, 2015, 41(1): 1-8.) [28] WANG F Y, ZHANG J J, ZHENG X H, et al. Where Does AlphaGo Go: from Church Turing Thesis to AlphaGo Thesis and Beyond. IEEE/CAA Journal of Automatica Sinica, 2016, 3(2): 113-120. [29] 王飞跃.基于社会计算和平行系统的动态网民群体研究.上海理工大学学报, 2011, 33(1): 8-17. (WANG F Y. Study on Cyber-Enabled Social Movement Organizations Based on Social Computing and Parallel Systems. Journal of University of Shanghai for Science and Technology, 2011, 33(1): 8-17.) [30] 王飞跃,王 晓,袁 勇,等.社会计算与计算社会:智慧社会的基础与必然.科学通报, 2015, 60(5/6): 460-469. (WANG F Y, WANG X, YUAN Y, et al. Social Computing and Computational Societies: The Foundation and Consequence of Smart Societies. Chinese Science Bulletin, 2015, 60(5/6): 460-469.) [31] WANG X, LI L X, YUAN Y, et al. ACP Based Social Computing and Parallel Intelligence: Societies 5.0 and Beyond. CAAI Transactions on Intelligence Technology, 2016, 1(4): 377-393. [32] 刘 昕,王 晓,张卫山,等.平行数据:从大数据到数据智能.模式识别与人工智能, 2017, 30(8): 673-681. (LIU X, WANG X, ZHANG W S, et al. Parallel Data: From Big Data Intelligence. Pattern Recognition and Artificial Intelligence, 2017, 30(8): 673-681.) [33] WANG X, ZHENG X H, ZHANG X Z, et al. Analysis of Cyber Interactive Behaviors Using Artificial Community and Computational Experiments. IEEE Transactions on Systems, Man, and Cybernetics(Systems), 2017, 47(6): 995-1006. [34] KANG M Z, WANG F Y. From Parallel Plants to Smart Plants: Intelligent Control and Management for Plant Growth. IEEE/CAA Journal of Automatica Sinica, 2017, 4(2): 161-166. [35] 王坤峰,苟 超,王飞跃.平行视觉:基于ACP的智能视觉计算方法.自动化学报, 2016, 42(10): 1490-1500. (WANG K F, GOU C, WANG F Y. Parallel Vision: An ACP Based Approach to Intelligent Vision Computing. Acta Automatica Sinica, 2016, 42(10): 1490-1500.) [36] 王坤峰,鲁 越,王雨桐,等.平行图像:图像生成的一个新型理论框架.模式识别与人工智能, 2017, 30(7): 577-587. (WANG K F, LU Y, WANG Y T, et al. Parallel Imaging: A New Theoretical Framework for Image Generation. Pattern Recognition and Artificial Intelligence, 2017, 30(7): 577-587.) [37] WANG K F, GOU C, ZHENG N N, et al. Parallel Vision for Perception and Understanding of Complex Scenes: Methods, Framework, and Perspectives. Artificial Intelligence Review, 2017, 48(3): 298-328. [38] 白天翔,王 帅,沈 震,等.平行机器人与平行无人系统:框架、结构、过程、平台及其应用.自动化学报, 2017, 43(2): 161-175. (BAI T X, WANG S, SHEN Z, et al. Parallel Robotics and Para-llel Unmanned Systems: Framework, Structure, Process, Plat form and Applications. Acta Automatica Sinica, 2017, 43(2): 161-175.) [39] 段艳杰,吕宜生,张 杰,等. 深度学习在控制领域的研究现状与展望.自动化学报, 2016, 42(5): 643-654. (DUAN Y J, L Y S, ZHANG J, et al. Deep Learning for Control: The State of the Art and Prospects. Acta Automatica Sinica, 2016, 42(5): 643-654.) [40] ZAHNG J, LI L J, WANG F Y. A Probabilistic Mechanism Design for Online Auctions. IEEE Access, 2017, 5(5): 10782-10794. [41] YUAN Y, WANG F Y, ZENG D L. Developing a Cooperative Bi-dding Framework for Sponsored Search Markets-An Evolutionary Perspective. Information Sciences, 2016, 369: 674-689. [42] QIN R, YUAN Y, WANG F Y. Exploring the Optimal Granularity for Market Segmentation in RTB Advertising via Computational Experiment Approach. Electronic Commerce Research and Applications, 2017, 24: 68-83. [43] 王飞跃,曾大军,袁 勇.基于ACP方法的电子商务系统复杂性研究.复杂系统与复杂性科学, 2008, 5(3): 1-8. (WANG F Y, ZENG D J, YUAN Y. An ACP-Based Approach for Complexity Analysis of Ecommerce System. Complex Systems and Complexity Science, 2008, 5(3): 1-8.) [44] YUAN Y, ZENG D D. Co-evolution Based Mechanism Design for Sponsored Search Advertising. Electronic Commerce Research and Applications, 2012, 11(6): 537-547. [45] 王坤峰,苟 超,段艳杰,等.生成式对抗网络GAN的研究进展与展望.自动化学报, 2017, 43(2): 321-332. (WANG K F, GOU C, DUAN Y J, et al. Generative Adversarial Networks: The State of the Art and Beyond. Acta Automatica Sinica, 2017, 43(3): 321-332.) [46] WANG F Y, YANG L Q, CHENG X, et al. Network Softwarization and Parallel Networks: Beyond Software Defined Networks. IEEE Network, 2016, 30(4): 60-65. [47] WANG F Y, ZHANG J, WEI Q L, et al. PDP: Parallel Dynamic Programming. IEEE/CAA Journal of Automatica Sinica, 2017, 4(1): 1-5. [48] WANG F Y. Toward a Paradigm Shift in Social Computing: The ACP Approach. IEEE Intelligent Systems, 2007, 22(5): 65-67. [49] WANG F Y. Computational Social Systems in a New Period: A Fast Transition into the Third Axial Age. IEEE Transaction on Computational Social System, 2017, 4(3): 52-53. [50] WANG K F, GUO C, ZHENG N N, et al. Parallel Vision for Perception and Understanding of Complex Scenes: Methods, Framework, and Perspectives. Artificial Intelligence Review, 2017, 48(3): 299-329. [51] WANG F Y, WONG P K. Intelligent Systems and Technology for Integrative and Predictive Medicine: An ACP Approach. ACM Transactions on Intelligent Systems & Technology, 2013, 4(2). DOI: 10.1145/2438653.2438667. [52] 王飞跃,张 梅,孟祥冰,等.平行手术:基于ACP的智能手术计算方法.模式识别与人工智能, 2017, 30(11): 961-970. (WANG F Y, ZHANG M, MENG X B, et al. Parallel Surgery: An ACP-Based Approach for Intelligent Operations. Pattern Recognition and Artificial Intelligence, 2017, 30(11): 961-970.) [53] 王飞跃,张 梅,孟祥冰,等.平行眼:基于ACP的智能眼科诊疗.模式识别与人工智能, 2018, 31(6): 495-504. (WANG F Y, ZHANG M, MENG X B, et al. Parallel Eyes: An ACP-Based Smart Ophthalmic Diagnosis and Treatment. Pattern Recognition and Artificial Intelligence, 2018, 31(6): 495-504.) [54] 王飞跃,李长贵,国元元,等.平行高特:基于ACP的平行痛风诊疗系统框架.模式识别与人工智能, 2017, 30(12): 1058-1068. (WANG F Y, LI C, GUO Y Y, et al. Parallel Gout: An ACP-Based System Framework for Gout Diagnosis and Treatment. Pa-ttern Recognition and Artificial Intelligence, 2017, 30(12): 1058-1068.)
2019, Vol. 32 
