A recursively interpreted data structure for representing clinical entities.

Clinical investigations generate a spectrum of data and data relationships that no longer fit simple data structures. To build a data management facility sufficiently flexible to deal with this spectrum of structures is thus an important problem. A general table-based data structure is presented that provides the clinical investigator with a means of tailoring the data structure to the experimentally derived data. The use of such a general structure appears limited to settings where deletion of instances of data is infrequent. This restriction poses no serious constraint in most clinical investigations.

Duke Scholars

Author Charles Franklin Starmer Computer Science