A hybrid neuro-fuzzy system-based ranking function and its application to effective medical information retrieval

2016 ◽  
Vol 9 (3/4) ◽  
pp. 248
Author(s):  
P. Gayathri ◽  
N. Jaisankar
Keyword(s):  
Information Retrieval ◽  
Fuzzy System ◽  
Medical Information ◽  
Ranking Function ◽  
Medical Information Retrieval ◽  
Neuro Fuzzy

WebMIRS: web-based medical information retrieval system

1997 ◽  
Author(s):  
L. Rodney Long ◽  
Stanley R. Pillemer ◽  
Reva C. Lawrence ◽  
Gin-Hua Goh ◽  
Leif Neve ◽  
...  
Keyword(s):  
Information Retrieval ◽  
Retrieval System ◽  
Medical Information ◽  
Information Retrieval System ◽  
Web Based ◽  
Medical Information Retrieval

Novel Nature Inspired Techniques in Medical Information Retrieval

2011 ◽  
pp. 31-38
Author(s):  
Miroslav Bursa ◽  
Lenka Lhotská ◽  
Vaclav Chudacek ◽  
Michal Huptych ◽  
Jiri Spilka ◽  
...  
Keyword(s):  
Information Retrieval ◽  
Medical Information ◽  
Medical Information Retrieval

Literature Review in Computational Linguistics Issues in the Developing Field of Consumer Informatics

2011 ◽  
pp. 226-232
Author(s):  
Ki Jung Lee
Keyword(s):  
Information Retrieval ◽  
Computational Linguistics ◽  
Information Structure ◽  
Information Needs ◽  
Retrieval System ◽  
Medical Information ◽  
Information Retrieval System ◽  
Search Results ◽  
Medical Information Retrieval ◽  
On Line

With the increased use of Internet, a large number of consumers first consult on line resources for their healthcare decisions. The problem of the existing information structure primarily lies in the fact that the vocabulary used in consumer queries is intrinsically different from the vocabulary represented in medical literature. Consequently, the medical information retrieval often provides poor search results. Since consumers make medical decisions based on the search results, building an effective information retrieval system becomes an essential issue. By reviewing the foundational concepts and application components of medical information retrieval, this paper will contribute to a body of research that seeks appropriate answers to a question like “How can we design a medical information retrieval system that can satisfy consumer’s information needs?”

scholarly journals Semantic concept-enriched dependence model for medical information retrieval

2014 ◽  
Vol 47 ◽  
pp. 18-27 ◽  
Author(s):  
Sungbin Choi ◽  
Jinwook Choi ◽  
Sooyoung Yoo ◽  
Heechun Kim ◽  
Youngho Lee
Keyword(s):  
Information Retrieval ◽  
Medical Information ◽  
Semantic Concept ◽  
Medical Information Retrieval

scholarly journals Research on Teaching Model of Medical Information Retrieval

2018 ◽  
Vol 227 ◽  
pp. 03003
Author(s):  
Yongrui Zhang ◽  
Jialin Gao
Keyword(s):  
Information Retrieval ◽  
Evaluation System ◽  
Medical Information ◽  
Classroom Interaction ◽  
Teaching Quality ◽  
Current Status ◽  
The Internet ◽  
Teaching Model ◽  
Traditional Teaching ◽  
Medical Information Retrieval

With the advent of the Internet era, traditional teaching forms, teaching methods and teaching concepts have undergone tremendous changes, and the teaching of medical information retrieval courses has also undergone good changes. This paper will explore the new teaching model of medical information retrieval under the Internet era from the teaching modes of PICOS, MOOC, SPOC, etc., in order to change the current status of poor classroom interaction and lack of high-quality teaching resources in college medical information retrieval courses, and improve the teaching quality of medical information retrieval courses and graduate students’ information literacy; and effectively change the traditional teaching evaluation system, give full play to the advantages of the network environment, and better innovate and rectify the teaching mode of medical information retrieval courses.

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