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A recursively interpreted data structure for representing clinical entities

Journal of Medical Systems

|April 1, 1982

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Managing complex clinical data requires flexible structures. This study presents a general table-based data structure for tailoring data management to experimental findings, suitable for most clinical investigations.

Area of Science:

Biomedical Informatics
Clinical Data Management

Background:

Clinical investigations produce diverse and complex data relationships.
Existing data structures often struggle to accommodate this spectrum of data.

Purpose of the Study:

To present a flexible data management solution for clinical research.
To enable investigators to tailor data structures to experimental data.

Main Methods:

Development of a general table-based data structure.
Adaptation of the structure for managing varied clinical data.

Main Results:

The proposed structure allows investigators to customize data organization.
The data structure is effective for managing complex, non-linear data relationships.

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Conclusions:

A general table-based structure offers a flexible approach to clinical data management.
This method is well-suited for most clinical investigations, with minimal limitations regarding data deletion.