Similarity Matching for Workflows in Medical Domain Using Topic Modeling

2018 ◽  
Author(s):  
Khalid Khawaji ◽  
Ibrahim Almubark ◽  
Abdullah Almalki ◽  
Bradley Taylor
Keyword(s):  
Topic Modeling ◽  
Similarity Matching ◽  
Medical Domain

Professional Qualification of German Physicians in Medical Informatics

1994 ◽  
Vol 33 (03) ◽  
pp. 312-314 ◽  
Author(s):  
J. Michaelis
Keyword(s):  
Medical Education ◽  
Clinical Practice ◽  
Federal Republic ◽  
Medical Informatics ◽  
Professional Training ◽  
Federal Republic Of Germany ◽  
Professional Qualification ◽  
Medical Degree ◽  
Formal Program ◽  
Medical Domain

Abstract:In addition to the medical education in the Federal Republic of Germany which includes a compulsory Medical Informatics course there exists a formal program for professional qualification of physicians in Medical Informatics. After two years of clinical practice and 1.5 years of professional training at an authorized institution, a physician may receive in addition to the medical degree a “supplement Medical Informatics”. The qualification requirements are described in detail. Physicians with the additional Medical Informatics qualification perform responsible tasks in their medical domain and serve as partners for fully specialized Medical Informatics ex-’ perts in the solution of practical Medical Informatics problems. The formal qualification is available for more than 10 years, has become increasingly attractive, and is expected to grow with respect to future Medical Informatics developments.

Innovative Approach to Information Search by Example of a Patent Analysis of an Important Substitution Plan

2020 ◽  
pp. 143-157
Author(s):  
Maria A. Milkova
Keyword(s):  
Information Search ◽  
Topic Modeling ◽  
Cognitive Biases ◽  
A Priori ◽  
Import Substitution ◽  
Innovative Approach ◽  
Iterative Search ◽  
Comprehensive Picture ◽  
Priori Information ◽  
Selection Of

Nowadays the process of information accumulation is so rapid that the concept of the usual iterative search requires revision. Being in the world of oversaturated information in order to comprehensively cover and analyze the problem under study, it is necessary to make high demands on the search methods. An innovative approach to search should flexibly take into account the large amount of already accumulated knowledge and a priori requirements for results. The results, in turn, should immediately provide a roadmap of the direction being studied with the possibility of as much detail as possible. The approach to search based on topic modeling, the so-called topic search, allows you to take into account all these requirements and thereby streamline the nature of working with information, increase the efficiency of knowledge production, avoid cognitive biases in the perception of information, which is important both on micro and macro level. In order to demonstrate an example of applying topic search, the article considers the task of analyzing an import substitution program based on patent data. The program includes plans for 22 industries and contains more than 1,500 products and technologies for the proposed import substitution. The use of patent search based on topic modeling allows to search immediately by the blocks of a priori information – terms of industrial plans for import substitution and at the output get a selection of relevant documents for each of the industries. This approach allows not only to provide a comprehensive picture of the effectiveness of the program as a whole, but also to visually obtain more detailed information about which groups of products and technologies have been patented.

Research Trends of Consumer Education Using Topic Modeling

2020 ◽  
Vol 16 (2) ◽  
pp. 83-115
Author(s):  
Mira Kim ◽  
◽  
Hye Sun Hwang ◽  
Xu Li
Keyword(s):  
Topic Modeling ◽  
Research Trends ◽  
Consumer Education

The Effect of Reference List in the Article on Topic Modeling using LDA

2019 ◽  
Vol 58 (6) ◽  
pp. 197-207
Author(s):  
Juhae Baeck ◽  
Hyungil Kwon ◽  
Mihwa Choi ◽  
Yi-Hsiu Lin
Keyword(s):  
Topic Modeling ◽  
Reference List
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