Applying object-oriented technologies in modeling and querying temporally oriented clinical databases dealing with temporal granularity and indeterminacy

1997 ◽  
Vol 1 (2) ◽  
pp. 100-127 ◽  
Author(s):  
C. Combi ◽  
G. Cucchi ◽  
F. Pinciroli
1995 ◽  
Vol 04 (04) ◽  
pp. 387-403
Author(s):  
SHUSAKU TSUMOTO ◽  
HIROSHI TANAKA ◽  
HIROMI AMANO ◽  
KIMIE OHYAMA ◽  
TAKAYUKI KURODA

Medical data consist of many kinds of data from different resources, such as natural language data, sound data from physical examinations, numerical data from laboratory examinations, time-series data from monitoring systems, and medical images (e.g. X-ray, Computer Tomography, and Magnetic Resonance Image). Therefore it has been pointed out that medical databases should be implemented as multidatabases. However, there have been few systems which integrate these data into multidatabases. In this paper, we report a system called COBRA (Computer-Operated Birth-defect Recognition Aid), which supports diagnosis and information retrieval of congenital malformation diseases and which also integrates natural language data, sound data, numerical data, and medical images into multidatabases on syndrome of congenital malformation. The results show that object-oriented scheme makes it easy to implement and integrate these knowledge-databases in COBRA, which suggests that these clinical databases should be implemented as object-oriented databases.


1995 ◽  
Vol 34 (04) ◽  
pp. 328-339 ◽  
Author(s):  
H. Klaeren ◽  
F. Banhart

Abstract:Clinical research involves recording, storage and retrieval of disease-related patient data, typically using a database system. In order to facilitate ad hoc queries to clinical databases we have developed a query generator with a graphical interface. The query generator uses an object-oriented data model which is visualized by directed graphs. The main focus of our work was the definition of object-oriented user views to the partly complex data structures of a relational database. Furthermore, we tried to define graphical abstractions for all common types of queries. Thus, even for non-expert database users such as clinicians, it is easy to assemble highly complex queries for a thorough examination of the content of large research databases.


1998 ◽  
Vol 28 (5) ◽  
pp. 531-552 ◽  
Author(s):  
Francesco Pinciroli ◽  
Luisa Portoni ◽  
Carlo Combi ◽  
Francesco Fabio Violante

2000 ◽  
Vol 147 (3) ◽  
pp. 61 ◽  
Author(s):  
V. Cortellessa ◽  
G. Iazeolla ◽  
R. Mirandola

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