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Biomedical subjects

L C Kingsland

Publications and source records attributed to L C Kingsland.

8 recordsLinked to original sources
PubMed1998

Computer-assisted diagnosis of pediatric rheumatic diseases.

OBJECTIVE: AI/RHEUM is a multimedia expert system developed originally to assist in the diagnosis of rheumatic diseases in adults. In the present study we evaluated the usefulness of a modified version of this diagnostic decision support system in diagnosing childhood rheumatic diseases. METHODOLOGY: AI/RHEUM was modified by the addition of 5 new diseases to the knowledge base of the system. Criteria tables for each of the diseases included in the knowledge base were modified to suit the needs of children. The modified system was tested on 94 consecutive children seen in a pediatric rheumatology clinic. RESULTS: AI/RHEUM made the correct diagnosis in 92% of the cases when the diagnosis was available in the knowledge base of the system. It was also shown to be effective in the education of pediatric trainees through its multimedia features. CONCLUSIONS: AI/RHEUM is an expert system that may be helpful to the nonspecialist as a diagnostic decision support system and as an educational tool.

Child↗
PubMed1993

The ranking algorithm of the Coach browser for the UMLS metathesaurus.

This paper presents the novel ranking algorithm of the Coach Metathesaurus browser which is a major module of the Coach expert search refinement program. An example shows how the ranking algorithm can assist in creating a list of candidate terms useful in augmenting a suboptimal Grateful Med search of MEDLINE.

Algorithms↗
PubMed1993

Coach: applying UMLS knowledge sources in an expert searcher environment.

With the development of the Unified Medical Language System (UMLS) Knowledge Sources, the National Library of Medicine (NLM) has produced a resource of great potential for improving the searching of MEDLINE. The Coach expert searcher system, an inhouse research project at NLM, is designed to help users of the GRATEFUL MED front-end software improve MEDLINE search and retrieval capabilities. This paper describes the Coach program, the knowledge sources it uses, and some of the ways it applies elements of the UMLS Metathesaurus to facilitate access to the biomedical literature.

Grateful Med↗
PubMed1988

The AI/RHEUM knowledge-based computer consultant system in rheumatology. Performance in the diagnosis of 59 connective tissue disease patients from Japan.

AI/RHEUM is a knowledge-based computer consultant system for the diagnosis of rheumatic diseases. Its diagnostic accuracy was evaluated using information that was supplied by Japanese rheumatologists on 59 patients with connective tissue diseases. The diagnoses of the AI/RHEUM model were in full or partial agreement with those of the Japanese rheumatologists in 54 of 59 cases (92%). Preliminary evaluation of the criteria tissue disease showed a sensitivity of 90% and a specificity of 96%.

Artificial Intelligence↗
PubMed1983

AI/RHEUM. A consultant system for rheumatology.

A knowledge-based computer consultant system in the medical specialty area of rheumatology is described. The system, called AI/RHEUM, uses artificial intelligence techniques to provide nonrheumatologist physicians with diagnostic assistance in this specialty area. AI/RHEUM contains in a structured knowledge base formal criteria for 26 rheumatologic diseases. The system has been retrospectively tested against 384 clinical cases, with an overall correct diagnostic performance of 94%.

Computers↗