Search PubMed⌕ Search
Home/Archive/PubMed

PubMed · 10834208

A tree-structured interactive system for representing medical knowledge.

D Pager
View original source ↗Export metadata ↓

Abstract

In this paper we describe an integration and extension of the software tools in current use by the medical community to provide a sophisticated system for representing and acquiring medical knowledge. For the overall structure of the system that we describe, we propose that a web-based hyperlink system be implemented for representing almost all medical knowledge in a multi-rooted tree-structure form. The extension of the database involved to include patient records is discussed. The paper describes the role of contributors to the system as well as users, commentators, and organizers.

Explore related subjects

Databases as TopicInternetMedical Records Systems, ComputerizedSystems IntegrationUser-Computer InterfaceJournal Article

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

D Pager. 2000. A tree-structured interactive system for representing medical knowledge.. https://pubmed.ncbi.nlm.nih.gov/10834208/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

PubMed2003

The statistical structure of human speech sounds predicts musical universals.

The similarity of musical scales and consonance judgments across human populations has no generally accepted explanation. Here we present evidence that these aspects of auditory perception arise from the statistical structure of naturally occurring periodic sound stimuli. An analysis of speech sounds, the principal source of periodic sound stimuli in the human acoustical environment, shows that the probability distribution of amplitude-frequency combinations in human utterances predicts both the structure of the chromatic scale and consonance ordering. These observations suggest that what we hear is determined by the statistical relationship between acoustical stimuli and their naturally occurring sources, rather than by the physical parameters of the stimulus per se.

Databases as Topic↗