The chronic disease data bank - the ARAMIS experience

Article Abstract:

The American Rheumatism Assoc Medical Information System (ARAMIS) is described. It represents a national chronic disease data bank containing parallel, longitudinal, clinical data sets from 17 disease centers, 22,000 patients and 183,000 observation time points. ARAMIS has addressed questions of disease classification, population subsets coming to different outcomes, post-marketing surveillance, and relationship of specific interventions to short-term and long-term outcome by utilizing time-oriented computer data banks. ARAMIS data is currently managed on microcomputers using the MEDLOG time-oriented database statistical software system. Advances over the past decade in hardware capability, software support, analytical techniques, and volumes and quality of data make the chronic disease data bank an increasingly valuable tool in clinical investigation.

Diseases, Design and construction, DBMS software, Technology, Databases, DBMS, Database, Functional Capabilities, Health Care, American Rheumatism Association Medical Information System (data base)

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Nonlinear elastic inversion of prestack marine seismic data

Article Abstract:

An inversion model is developed for improving the analysis of seismic data in a marine environment (an elastic medium), wherein underwater seismic information is acquired through analysis of pressure data acquired by hydrophones. The model addresses the problem of the effect of the solid-liquid interface on wave propagation in the attempt to analyze the varying densities of the underwater solid layers. A least squares methodology is used to generate the inversion for the elastic layer, with a time travel variable used for the recovery of three-parameter distributions where resolution has been degraded. The methodology is validated for large-scale, artificial examples. Details of the development and validation of the inversion model are described.

Industrial research, Product introduction, Seismology, Geophysics, Signal processing, Research and Development, New Technique, Data Analysis, technical

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