Search PubMed⌕ Search

Biomedical subjects

S S el-Gamal

Publications and source records attributed to S S el-Gamal.

7 recordsLinked to original sources
PubMed1987

A computer-based system for urology and nephrology.

Modern technology offers new opportunities for the storage and manipulation of hospital information. A computer-based system for urology and nephrology has been designed and developed in this centre. It uses a program that allows the analysis of unrestricted non-codified texts and the operation by hospital staff who have had no more than minimal computer training. The potential of such a system is outlined and a comparison is made with other existing systems. Future prospects and potential lines of development are presented.

Computers↗
PubMedDate not supplied

A specialized hospital information system.

Modern information technology offers new opportunities for the storage and manipulation of hospital information. A computer-based hospital information system dedicated to urology and nephrology was designed and developed in our centre. It involves in principle, the employment of a program that allows the analysis of non-restricted non-codified texts, for the retrieval and processing of clinical data, and operation by non-computer specialized hospital staff. This Hospital Information System now plays a vital role for the provision of an efficient, good quality service and is used now in daily routine and research work in this hospital. This paper describes this specialized hospital information system.

Egypt↗
PubMedDate not supplied

Understanding clinical narrative text.

A linguistic analysis of the narrative which appears in patient documents, in the domain of urology, has shown that the information is conveyed by a small number of semantic statement types composed of syntactic combinations of medical and English word classes. It has been shown that words from different classes occurring in the diagnosis for the patient disease follow some regular grammatical rules. This impressive linguistic regularity in clinical narrative has made it encouraging to develop a recognizer which is capable of recognizing disease diagnosis in the narrative clinical documents in the domain of urology. The recognizer was implemented using the C language. This recognizer output information which could be refined to a form suitable for management by a database management system for further computerized information processing.

Algorithms↗