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1.
Chinese Journal of Medical Science Research Management ; (4): 241-248, 2020.
Article in Chinese | WPRIM | ID: wpr-872061

ABSTRACT

Objective:The research analyzed the current situation and trend of health science and technology innovation in China, developed the national health and health science and technology innovation index to estimate the development of health science and technology innovation in China.Methods:The research discussed the connotation and scope of National Health Science and technology innovation, designed the national health science and technology innovation index, and developed the evaluation index system that covered various aspects including innovation resources, innovation output, innovation environment.Results:The total index and sub-index of national health science and technology innovation index from 2011 to 2017 were calculated. Suppose the base number of 2011 was 100, the value of national health science and technology innovation index in 2017 was 201.73.Conclusions:By using multi-level indicators, the indicators that reflect the basic characteristics of scientific and technological innovation can be transformed into the overall indicators that comprehensively reflect the level of scientific and technological innovation, which can be used to monitor the overall development of health scientific and technological innovation and the situation of each innovation stage.

2.
Journal of Medical Informatics ; (12): 50-54,81, 2017.
Article in Chinese | WPRIM | ID: wpr-609356

ABSTRACT

The paper analyzes the conditions of research on the current scientific literature text feature extraction methods,applies the TF-IDF method based on background knowledge in the medical text feature extraction,and conducts experimental comparison in four medical fields.The result indicates that this method can obviously improve the extraction effect when there are few vocabularies to be extracted,and is obviously superior to the IDF based TF-IDF method in the aspects of filtration of commonly-used words in the text set and identification of important feature words.

3.
Journal of Medical Informatics ; (12): 54-58, 2017.
Article in Chinese | WPRIM | ID: wpr-616776

ABSTRACT

The paper puts forward the method for evaluation on the scientific influence of institution based on PageRank algorithm,configures the initial weight of each institution based on the problems of dividing equally the webpage weight number in the classical PageRank algorithm and cited frequency of the application chapter,constructs the network matrix cited by institution through the citation situation of medical SCI papers published by partial colleges and universities in 2015,respectively calculates the PageRank values of institution when self-citation is excluded or included,and conducts comparative analysis on the sequence of cited frequency indicators of the institution as well as H index.This method can be used to evaluate scientific influence of institution from two dimensions of quality and quantity.

4.
Chinese Journal of Medical Library and Information Science ; (12): 1-7, 2016.
Article in Chinese | WPRIM | ID: wpr-487701

ABSTRACT

Multidimensional features ( life cycle features, universal acceptability, authority, innovation and inter-disciplinarity) of frontier knowledge and their measurement methods were determined according to the current scien-tific achievements in order to help scientific workers and decision makers timely discover and accurately recognize frontier knowledge.The framework for studies on frontier knowledge discovery in medical field was proposed with its key problems explained in order to provide reference for its future study.

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