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Results for “AUTOMATIC DATA PROCESSING”

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PubMed1977

[Automated evaluation and analysis of isotopic heart function tests with minimal cardiac transit times].

The clinical evaluation of cardiac function by non-invasive means with the help of radioactive isotopes registering minimal cardiac transit times (MTTs) is increasingly employed in routine diagnosis. In order to economise on work load and time expenditure and for the purpose of an objective and complete evaluation of data, automatic data processing is desirable. This paper describes a program that consists of 4 sections: 1. examination 2. generation of data 3. processing of data 4. evaluation of data. The program permits a nearly total automated data generation, analysis, calculation, classification, final clinical evaluation and the automated production of a medical report. This greatly reduces the time spent per examination to approximately 5 minutes. The automated evaluation of the data is based on clinical experience with approximately 3.500 measurements in patients with the most frequent cardiac diseases. The result is an objective statement of causes of MTT changes and is highly useful for medical routine application. The control and the final inclusion of the findings into the spectrum of other clinical results remains the subject of the physician's judgement. The advantage of the method is the evaluation of all cardiac segments. This pertains to the evaluation of both atria and both ventricles, as well as of the entire central circulation with and without participation of the lung.

Computers↗
PubMed1993

The automatic processing of medical data in Belgium: is the individual protected?

Medical data are collected, stored, transferred and used in Belgium as in many other western countries. Most of these countries have statutes for the protection of the individual with regard to (automatic) processing of medical data. Belgium, however, does not have such statutes or regulations. This article, firstly, describes briefly the processing of medical data on different levels in Belgium. It secondly illustrates the lack of personal medical data protection of the individual in Belgium. When more and more states started ratifying Council of Europe Convention No 108, the Belgian attitude was at times embarrassing. To make things worse, a Proposal for a Council Directive of 27 July 1990 has been published. The proposal, providing a deadline for the member states, aims at establishing throughout the community a high level of data protection on the basis of the internationally acknowledged principles of Convention No 108 and taking into account more recent national legislations in line with current technological developments. Special protection is provided for sensitive medical data. As said before, Belgium does not yet have legislation for medical data protection. There is, however, a draft concerning the protection of a person's data with regard to the processing of personal data. This draft, which might soon become law, is critically analysed, more particularly its protection of the individual in relation to the processing of medical data.

Belgium↗
PubMedDate not supplied

[Design of the automatic system of processing data on mitochondrial DNA "mDNAbase" sequestration for expert identification of the unidentified bodies under the conditions of mass reception of human remains].

The authors consider utilization of software which provides indirect personality identification by establishment of biological kinship using a comparative analysis of nucleotide sequences (NS) of mitochondrial DNA (mtDNA) in unidentified bodies and suspected relatives of these victims. The software supports data bases with information on NS. To secure automatic search there are modes of cross-processing. Results of identification are formed as lists of exclusions and tables with calculated frequencies of mitotypes of identification objects as well as protocols of a comparative analysis of nucleotide position in mtDNA sequences under comparison. The proposed computer approach is a new highly effective tool for identification of personality based on data on mtDNA analysis in conditions of stream information processing under mass reception of unidentified bodies.

Cadaver↗
PubMed1978

[Ways to increase the information content in the automatic processing of instrumental data in cardiology].

New algorithms for the analysis of sinus rhythm and doppler-cardiogram of the posterior wall of the left ventricle are suggested. Clinically invormative signs have been revealed: number of classes of R--R intervals, distance between the centers of the classes, regular distribution of R--R intervals according to classes, and the value of the doppler-cardiogram spectrum harmonics I/II ratio. The possibility of using these signs in the systems of automatic analysis of data in examination of patients with ischemic heart disease is shown.

Adult↗
PubMed1988

Optimal data processing procedure for automatic bacterial identification by gas-liquid chromatography of cellular fatty acids.

Gas-liquid chromatography of cellular fatty acids was used in automatic identification of clinical bacterial isolates. The intraspecies variation in the occurrence of fatty acids and the variation in the relative gas-liquid chromatography peak areas of different fatty acids were evaluated and compared with the relative peak areas of these acids. A new chromatogram comparison method involving the use of an exponential function was developed to adjust to data variation optimally. This method was compared with several previously published methods of correlation analysis with data from representative clinical bacteriological isolates. The efficacies of the methods in separating different bacterial species into distinct clusters were compared. The new exponential function method was superior to the others both in its ability to separate species into different clusters and in giving a greater degree of identity to strains within a proper cluster. The results indicate that the gas-liquid chromatography of bacterial cellular fatty acids can be used effectively in the identification of clinically isolated bacteria. However, the usefulness of the analysis depends on the comparison method used and on its ability to cope with data variations.

Bacteria↗