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.
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2019, Vol. 32 
