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医学工程与信息学跨学科知识中心建设方法

已有 181 次阅读 2019-11-11 22:56 |个人分类:学术研究|系统分类:论文交流| 医学工程, 信息学

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Interdisciplinary Knowledge Centre Construction Method of Medical Engineering and Informatics

Chunming Li1; Guocai Jiang1;  Xiaoqun Wang2; Xiaohui Zou3

1  Sichuan Technology & Business College, Chengdu, Sichuan, China

2Teacher Teaching Development Center, Peking University Beijing, China

3 Sino-American Searle Research Center, Beijing, China

Objectives: Because of the corresponding foundations in natural language processing and formal understanding, expert knowledge acquisition and formal expression, and interdisciplinary teaching big data accumulation, we have the conditions to construct interdisciplinary knowledge centers. An interdisciplinary knowledge center designed to build medical engineering and informatics through information processing, artificial intelligence, and big data technologies.

Methods: The steps involve three aspects. First, medical physics and medical engineering are taken as examples, and the latest research results of information science and technology are adopted. Through the human-machine intersection method and the socialized system engineering combining education, management, learning and application, comprehensive grasping the concepts, principles, methods, examples and classic characters of each specific discipline and its branches; further, from the perspectives of medical physics, medical engineering and informatics, in traditional language engineering, knowledge engineering and software engineering. Based on the above, and use statistical machine learning and deep learning based on neural network, give full play to the advantages of computer batch processing methods, form a formal system engineering combining language, knowledge, software and hardware, and efficiently verify each specific knowledge module of the discipline and its branches; finally, through the physical objects, psychological weights (meaning value), grammar symbols and the laws or odds they follow, formal intelligent system engineering of human-machine collaboration, and make intelligent texts analysis and knowledge module finishing.

Results: It is fortunate to find that the unique charm of the above three systems engineering can not only efficiently process the medical module of medical physics, medical engineering and informatics and its sub-disciplines, thus forming its unique interdisciplinary knowledge center. Construct a paradigm, and further a multidisciplinary knowledge center construction paradigm through appropriate promotion and popularization. For example, multidisciplinary knowledge centers for basic medicine and clinical medicine and their large branch disciplines, such as the multidisciplinary knowledge centers for pathology, pharmacology, and toxicology, all can be constructed using the above three systems engineering.

Conclusions: The significance lies in the promotion and popularization value of such purposes, methods and results. Because it not only inherits and draws on existing information processing technology, artificial intelligence technology and big data processing technology, but also innovates the unique three major system engineering, which is characterized by human-computer interaction and cooperation, machine automatic operation, Human-machine cooperation is highly collaborative and can even be used directly to mobilize the participation of teachers and students, not only to significantly improve the quality of teaching and research, and to expand the scope of services, to give full play to research universities to lead social development and optimize international exchanges. Among them, the first benefit is the knowledge module of industrial medicine physics, medical engineering and informatics and its branch disciplines.

Acknowledgements: This work was supported by the Knowledge Big Production Foundation of Sino-American Searle Research Center in China (Grants No. 2018-2019-02).

Correspondence Author: Xiaohui Zou,[ http://orcid.org/0000-0002-5577-8245  ] Sino-American Searle Research Center, Beijing, China (E-mail:949309225@qq.com)


Published in Basic & Clinical Pharmacology & Toxicology in 2019

https://publons.com/publon/27524389/

008

Interdisciplinary knowledge centre construction method of medical engineering and informatics

Chunming Li1; Guocai Jiang1; Xiaoqun Wang2; Xiaohui Zou3

1Sichuan Technology & Business College, Chengdu, Sichuan, China; 2Teacher Teaching Development Center, Peking University Beijing, China; 3Sino‐American Searle Research Center, Beijing, China

Objectives: Because of the corresponding foundations in natural language processing and formal understanding, expert knowledge acquisition and formal expression, and interdisciplinary teaching big data accumulation, we have the conditions to construct interdisciplinary knowledge centers. An interdisciplinary knowledge center designed to build medical engineering and informatics through information processing, artificial intelligence, and big data technologies.

Methods: The steps involve three aspects. First, medical physics and medical engineering are taken as examples, and the latest research results of information science and technology are adopted. Through the human‐machine intersection method and the socialized system engineering combining education, management, learning and application, comprehensive grasping the concepts, principles, methods, examples and classic characters of each specific discipline and its branches; further, from the perspectives of medical physics, medical engineering and informatics, in traditional language engineering, knowledge engineering and software engineering. Based on the above, and use statistical machine learning and deep learning based on neural network, give full play to the advantages of computer batch processing methods, form a formal system engineering combining language, knowledge, software and hardware, and efficiently verify each specific knowledge module of the discipline and its branches; finally, through the physical objects, psychological weights (meaning value), grammar symbols and the laws or odds they follow, formal intelligent system engineering of human‐machine collaboration, and make intelligent texts analysis and knowledge module finishing.

Results: It is fortunate to find that the unique charm of the above three systems engineering cannot only efficiently process the medical module of medical physics, medical engineering and informatics and its sub‐disciplines, thus forming its unique interdisciplinary knowledge center. Construct a paradigm, and further a multidisciplinary knowledge center construction paradigm through appropriate promotion and popularization. For example, multidisciplinary knowledge centers for basic medicine and clinical medicine and their large branch disciplines, such as the multidisciplinary knowledge centers for pathology, pharmacology, and toxicology, all can be constructed using the above three systems engineering.

Conclusions: The significance lies in the promotion and popularization value of such purposes, methods and results. Because it not only inherits and draws on existing information processing technology, artificial intelligence technology and big data processing technology, but also innovates the unique three major system engineering, which is characterized by human‐computer interaction and cooperation, machine automatic operation, Human‐machine cooperation is highly collaborative and can even be used directly to mobilize the participation of teachers and students, not only to significantly improve the quality of teaching and research, and to expand the scope of services, to give full play to research universities to lead social development and optimize international exchanges. Among them, the first benefit is the knowledge module of industrial medicine physics, medical engineering and informatics and its branch disciplines.

Acknowledgements: This work was supported by the Knowledge Big Production Foundation of Sino‐American Searle Research Center in China (Grants No. 2018‐2019‐2).

Correspondence Author: Xiaohui Zou, Sino‐American Searle Research Center.

https://onlinelibrary.wiley.com/toc/17427843/125/S1  





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