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At least 199 records · Page 11Linked to original sources
PubMed1995

A three-level graph-based model for the management of hospital information systems.

Information processing in hospitals, especially in university hospitals, is currently faced with two major issues: low-cost hardware and progress in networking technology leads to a further decentralization of computing capacity, due to the increasing need for information processing in hospitals and due to economic restrictions, it is necessary to use commercial software products. This leads to heterogeneous hospital information systems using a variety of software and hardware products, and to a stronger demand for integrating these products and, in general, for a dedicated methodology for the management of hospital information systems to support patient care and medical research. We present a three-level graph-based model (3LGM) to support the systematic management of hospital information systems. 3LGM can serve as a basis for assessing the quality of information processing in hospitals. 3LGM distinguishes between a procedural level for describing the information procedures (and their information interchange) of a hospital information system and thus its functionality, a logical too level, focusing on application systems and communication links, and a physical tool level with physical subsystems (e.g., computer systems) and data transmission. The examples that are presented have been taken from the Heidelberg University Hospital Information System.

Computer Graphics↗
PubMed1995

Graph-theoretic approach to RNA modeling using comparative data.

We have examined the utility of a graph-theoretic algorithm for building comparative RNA models. The method uses a maximum weighted matching algorithm to find the optimal set of basepairs given the mutual information for all pairs of alignment positions. In all cases examined, the technique generated models similar to those based on conventional comparative analysis. Any set of pairwise interactions can be suggested including pseudoknots. Here we describe the details of the method and demonstrate its implementation on tRNA where many secondary and tertiary base-pairs are accurately predicted. We also examine the usefulness of the method for the identification of shared structural features in families of RNAs isolated by artificial selection methods such as SELEX.

Algorithms↗
PubMed1993

Structuration and acquisition of medical knowledge. Using UMLS in the conceptual graph formalism.

The use of a taxonomy, such as the concept type lattice (CTL) of Conceptual Graphs, is a central structuring piece in a knowledge-based system. The knowledge it contains is constantly used by the system, and its structure provides a guide for the acquisition of other pieces of knowledge. We show how UMLS can be used as a knowledge resource to build a CTL and how the CTL can help the process of acquisition for other kinds of knowledge. We illustrate this method in the context of the MENELAS natural language understanding project.

Artificial Intelligence↗
PubMed1977

A straight-line graph for leg-length discrepancies.

A graphic method is presented that facilitates the recording and interpretation of data in cases of leg-length discrepancy. It provides a mechanism for predicting future growth that automatically takes into account the child's growth percentile and the degree of growth inhibition in the short leg. It can be used to predict the effects of corrective surgical procedures and to choose a surgical timetable. A series of cases of epiphyseodesis is presented, showing the straight-line graph method to be significantly more accurate than the so-called growth-remaining method, particularly in cases of growth inhibition.

Adolescent↗
PubMed1986

Number of receptor sites from Scatchard and Klotz graphs: complementary approaches.

Estimates of number of receptor sites and evaluation of the complexity of the binding process require collection of a spectrum of binding measurements and selection of a theoretical model to fit the experimental data. The appropriateness of the measurements and of the model can be visually judged on graphic displays of the model-data fitting curves in Scatchard and semilogarithmic coordinates. This approach is helpful for detecting the two types of errors most frequently found in reports of binding studies: (1) underestimating the number of binding sites, and (2) failure to recognize the complexity of the binding process. While the former is readily recognizable on semilogarithmic but not on Scatchard plots of the model fitting the data, the latter might not be apparent on either plot. Collection of extensive measurements over a wide range of ligand concentrations with graphic display of the model-data fitting curves in Scatchard and semilogarithmic coordinates should be used to recognize and prevent both errors.

Humans↗
PubMed1982

Linkage graphs.

Explore the source record for details and available documents.

Biopolymers↗
PubMed1990

The exploration of pharmacokinetic and pharmacodynamic data using interactive three-dimensional graphs, a tool borrowed from particle physics.

Computerized interactive 3-dimensional graphical displays were originally developed to aid in the exploration of multidimensional data from particle physics experiments. This technique can be equally well applied to speed the analysis of multivariate pharmaco-kinetic and pharmacodynamic data. The application of this technique to the results of a drug study demonstrated its effectiveness in providing a rapid overview of the data and in displaying new perspectives on the multivariate data, helping to identify sources of variability within the study. Multiple concentration-time curves from a given administration period can be distinguished within a single plot, using visual cues provided by rotating the display. Simultaneous comparison of large numbers of curves allows rapid evaluation of intersubject variability. Comparing the concentration-time curves from a single subject, each in succession, quickly identifies sources of intra-subject variability. Manipulating the display by a fourth dimensional parameter shows the degree of relationship between the concentration-time curves and associated dynamic variables. Exploratory analysis using such kinematic display software, provides a rapid, visually concrete impression of the relationships present in kinetic and dynamic data before the application of standard statistical routines.

Data Display↗
PubMed1979

A note on computer graph plots of physician practice locations.

This note examines the distribution of a medical school's physician graduates among states. Computer graphy plots of this distribution are shown to be an alternative way of providing information to health care administration decision-makers concerned with physician practice location.

Computers↗