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1.
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-904745

ABSTRACT

Objective To discuss the system and classification of military pharmacy disciplines. Methods Based on the analysis and induction of the military pharmacy subject positioning, classification status, classification ideas and classification methods, the military pharmacy subject system is described with system analysis and system structured approach. Results The military pharmacy disciplinary system may be divided into four major categories: military pharmacy science, military pharmacy technology, military pharmacy engineering, and military pharmacy management, and several sub-categories. Conclusion Strengthening the research of military pharmacy disciplinary system will improve the disciplinary system classification, which will help improve the overall cognitive level of military pharmacy discipline and accelerate the development of military pharmacy disciplinary system.

2.
Scientometrics ; 125(2): 1197-1212, 2020.
Article in English | MEDLINE | ID: mdl-32836529

ABSTRACT

We study whether humans or machine learning (ML) classification models are better at classifying scientific research abstracts according to a fixed set of discipline groups. We recruit both undergraduate and postgraduate assistants for this task in separate stages, and compare their performance against the support vectors machine ML algorithm at classifying European Research Council Starting Grant project abstracts to their actual evaluation panels, which are organised by discipline groups. On average, ML is more accurate than human classifiers, across a variety of training and test datasets, and across evaluation panels. ML classifiers trained on different training sets are also more reliable than human classifiers, meaning that different ML classifiers are more consistent in assigning the same classifications to any given abstract, compared to different human classifiers. While the top five percentile of human classifiers can outperform ML in limited cases, selection and training of such classifiers is likely costly and difficult compared to training ML models. Our results suggest ML models are a cost effective and highly accurate method for addressing problems in comparative bibliometric analysis, such as harmonising the discipline classifications of research from different funding agencies or countries.

3.
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-756538

ABSTRACT

Objective To analyze the influence of discipline rankings of essential science indicators on medical related dis-ciplines research work in Chinese universities .Methods Characteristics and influencing factors of indicator data in ESI were an-alyzed .Results The indicators of ESI are unique ,objective and predictable ,and does not distinguish between author rankings . The subject classification system is unique .Conclusions The positive roles of ESI in medical related discipline research of uni-versities includes promoting the impact of articles ,promoting international cooperation of medical related disciplines in universi-ties ,and paying attention to the papers of non-first and corresponding authors .Its limitations include affecting the balanced de-velopment of medical related disciplines ,some medical related disciplines do not have independent rankings ,encourage more pa-per publishing in journals outside mainland China ,and medical college institutional statistics is difficult to improve .

4.
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-447414

ABSTRACT

We present that the modern basic theory of traditional Chinese medicine is a new science in this article. To demonstrate the problem new discipline faced and needed to be understood, firstly we want to clear the related concepts of discipline and traditional Chinese medicine from an international perspective achieving the original inten-tion of deepening the research field, forming a discipline branch and towards modern teaching. Secondly, we explore the discipline classification system and in which the location of traditional Chinese medicine and theory of traditional Chinese medicine discipline, and then explore the discipline overall regularity of occurrence, development and demise focusing on regularity and evaluation criteria reveal of medicine and traditional Chinese medicine disciplines. On this basis, we demonstrate the discipline property and location of new scientific disciplines of modern basic theo-ry of traditional Chinese medicine, subjects and fields, direction and meaning and then draw a credible conclusion in accordance with deductive reasoning.

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