An automatic document processing system for medical data extraction

Measurement ◽  
2015 ◽  
Vol 61 ◽  
pp. 88-99 ◽  
Author(s):  
Francesco Adamo ◽  
Filippo Attivissimo ◽  
Attilio Di Nisio ◽  
Maurizio Spadavecchia
Author(s):  
Ahmad Q. Alhamad ◽  
Ahmed M. Elshamy ◽  
Waleed Maqableh ◽  
Asma Qasim

1996 ◽  
Vol 19 (3) ◽  
pp. 275-294 ◽  
Author(s):  
N. Bourbakis ◽  
N. Pereira ◽  
S. Mertoguno

1998 ◽  
Author(s):  
Kazem Taghva ◽  
Allen Condit ◽  
Julie Borsack ◽  
John Kilburg ◽  
Changshi Wu ◽  
...  

Author(s):  
JASON T. L. WANG ◽  
PETER A. NG

This paper presents the design of an intelligent document processing system, called TEXPROS. The system is a combination of filing and retrieval systems, which supports storing, extracting, classifying, categorizing, retrieving and browsing information from a variety of documents. TEXPROS is built based on object-oriented programming and rule-based specification techniques. In this paper, we describe main design goals of the system, its data model, logical file structure, and strategies for document classification and categorization. We also illustrate various retrieval methods and query processing techniques through examples. Finally applications of TEXPROS are presented, where we suggest ways in which the use of the system may alter the software process model.


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