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At least 1,369 records · Page 76Linked to original sources
PubMed1983

Optimal strategies for the diagnosis and treatment of coronary artery disease. Analysis using microcomputer.

A computer program has been developed to aid in diagnostic and therapeutic decisions concerning a patient with chest pain. It provides an analysis tailored to the individual patient, in that the data used in the analysis depend on specific patient characteristics. The user can elect to examine all stored data values (probabilities, quality-adjusted life expectancies, and monetary costs), and to alter any of them. Decisions at three stages in the patient workup are considered: prior to any diagnostic test, following an exercise tolerance test, and following coronary angiography. The results of the analysis can be displayed in several tabular and graphical formats. In addition, the program can carry out a Monte Carlo simulation (or probabilistic sensitivity analysis) to determine the effect of uncertainty in the data on the stability of the choice of optimal strategy.

Computers↗
PubMed1983

A nonlinear least squares program based on differential equations, MULTI (RUNGE), for microcomputers.

A nonlinear least squares program based on first-order simultaneous differential equations, MULTI (RUNGE), for personal computers was developed. Four algorithms, i.e. the classical Gauss-Newton method, the damping Gauss-Newton method, the modified Marquardt method and the simplex method can be used for the nonlinear curve fitting in MULTI (RUNGE). The differential equations and the initial conditions which are voluntarily defined by the user are numerically solved by the Runge-Kutta-Gill method and the numerically integrated solutions are fitted to the observed data points by the iterative least squares algorithms. MULTI (RUNGE) can be executed on many personal computers without any modification, because this program is written in the Microsoft minimum BASIC commands alone. The dimensions of differential equations, the number of parameters to evaluate and the number of experimental data points are restricted only by the available memory in computers and by the computing time.

Computers↗
PubMed1986

Microcomputer-based nonlinear regression analysis of ligand-binding data: application of Akaike's information criterion.

Akaike's information criterion (AIC) (Akaike, H., IEEE Trans. Automat. Contr. AC-19, 716-723 (1974)) was applied to estimate statistically the number of classes of binding sites from ligand-binding data. Several sets of data were analyzed by both the AIC method and the F-test method. Good agreement was obtained between results from both methods. The present results suggest that the AIC method can be a good alternative to the F-test to estimate the number of classes of sites.

Animals↗
PubMed1989

Microcomputer processing of film radiographs.

An inexpensive image processing system, assembled from commercially available components and driven by "in-house" software, was tested as a means of processing radiographs obtained in a radiology department. In this preliminary study, the main interest was to investigate, through subjective appraisal, the ability of the system to recover the image quality of poorly exposed radiographs. Subsidiary objectives were to obtain some information regarding the specification limits of the system and its components, as well as some quantitative estimate of its advantages for clinical diagnosis. The system was used to process a set of film radiographs of an anthropomorphic chest phantom, produced under conditions that were designed to provide a wide range of image qualities. Following this, four sets of randomly ordered processed and unprocessed images were formally assessed by a group of experienced observers. Consensus opinion from the group indicated that significant improvement could be obtained through simple image processing. Some radiographs regarded as unacceptable became, after processing, acceptable to viewers.

Humans↗
PubMed1991

Development and implementation of a microcomputer-based multi-user MEDLINE system.

The Health Sciences Libraries Consortium, a group of health sciences libraries based in Philadelphia, PA, has implemented a MEDLINE database retrieval system based on the CD Plus PlusNet2 system. The system provides access to the entire MEDLINE database file through three centralized servers and four distributed servers, and is accessible over the HSLC wide-area network linking all of its members. This article describes the implementation process, from selection of the system to future development.

CD-ROM↗