Parallel Gout: An ACP-Based System Framework for Gout Diagnosis and Treatment
WANG Fei-Yue1,3, LI Changgui4, GUO Yuanyuan1,5, WANG Jing1,3, WANG Xiao2,3, QIU Tianyu1, Meng Xiangbing1,3, SHI Xiaobo1
1.Parallel Healthcare Technology Innovation Center, Institute of Smart Healthcare Systems,Qingdao Academy of Intelligent Industries, Qingdao 266109 2.Parallel Workshop, Qingdao Academy of Intelligent Industries, Qingdao 266109 3.The State Key Laboratory for Management and Control for Complex Systems, Institute of Automation,Chinese Academy of Sciences, Beijing 100190 4.Shandong Gout Clinical Medical Center, The Affiliated Hospital of Qingdao University, Qingdao266003 5.Department of Industrial Engineering, Tsinghua University, Beijing 100084
Abstract In order to improve the accuracy and the efficiency of diagnosis and treatment of Gout in complicated situation and break through the gap between doctor′s profession, an artificial societies, computational experiments, and parallel execution(ACP) based parallel gout diagnosis and treatment framework is presented, named Parallel Gout. Parallel Gout could construct an artificial gout diagnosis and treatment system to represent and simulate the real procedure of medical diagnosis and treatment system. It can train and evaluate the various models of diagnosis and treatment of gout by Computational Experiments, and to manage and control the real medical system by Parallel Execution, to achieve the automatic and intelligent diagnosis and treatment procedure for gout. Parallel Gout can help doctors to reduce the likelihood of misdiagnosis and therapeutic mistakes, and increase the efficiency of medical procedure as well improve the professionality of doctors. Parallel Gout can also help the patients to manage the chronic diseases and keep healthy. The application of Parallel Gout in the diagnosis and treatment of gout is of great practical significance. This is an effective approach to motivate the traditional medical model to become intelligent and parallel, and contribute to a higher level of national health.
Fund:Supported by Key Program of National Natural Science Foundation of China(No.61533019,71232006,61233001), Program for Entrepreneurial and Innovative Leading Talents of Qingdao(No.15-10-3-15-(46)-zch)
About author:: (WANG Fei-Yue(Corresponding author), born in 1961, Ph.D., professor. His research interests include modeling, analysis, and control of intelligent systems and complex systems.) (LI Changgui, born in 1963, Ph.D., chief physician. His research interests include basic and clinical research of Hyperuricemia and Gout.) (GUO yuanyuan, born in 1986, master student, senior engineer. Her research interests include parallel medicine, parallel diagnosis and treatment, smart healthcare, engineering management and software engineering. ) (WANG Jing, born in 1992, master, assistant engineer. His research interests include parallel medicine, parallel diagnosis and treatment, machine learning and natural language processing.) (WANG Xiao, born in 1988, Ph.D., assistant researcher. Her research interests include social computing, knowledge automation, knowledge robots, social transportation and parallel intelligence.) (QIU Tianyu, born in 1990, master, software engineer. His research interests include artificial intelligence, knowledge graph and software engineering.) (MENG Xiangbing, born in 1990,Ph.D.candidate. His research interests include computer vision.) (SHI Xiaobo, born in 1963, Ph.D., senior engineer. His research interests include pattern recognition and artificial intelligence, natural language processing and knowledge graph.)
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