Mechanized Processing and Retrieval of Bio-Medical Information

1962 ◽  
Vol 01 (01) ◽  
pp. 16-22 ◽  
Author(s):  
W. A. Southern
Keyword(s):  
Information Retrieval ◽  
Retrieval System ◽  
Medical Information ◽  
Information Retrieval System ◽  
Information Services ◽  
Coding System ◽  
Periodical Literature ◽  
Digit Number ◽  
Science Information ◽  
Future Plans

A report is given on the mechanized information retrieval system in operation in the Abbott Laboratories’ Science Information Services which is used for the biomedical periodical literature;i Q’ The system uses a random 12-digit number coding system and an IBM Electronic Statistical Machine 101. The following subjects are discussed in detail: the dictionary; abstracting, coding, and machine searching procedure; uses of the Abbott Abstracts; limitations of the system, and future plans for an improved system.

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

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?”

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

2010 ◽  
pp. 758-765 ◽  
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?”

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