Evolution Inclusions and Variation Inequalities for Earth Data Processing III

The paper gives a report on the Karolinska Hospital Information System in three parts.In part I, the information problems in health care delivery are discussed and the approach to systems design at the Karolinska Hospital is reported, contrasted, with the traditional approach.In part II, the data base and the data processing system, named T1—J 5, are described.In part III, the applications of the data base and the data processing system are illustrated by a broad description of the contents and rise of the patient data base at the Karolinska Hospital.

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Data Screening Methods – Application to Differential Diagnosis in Pancreatic Pathology from Radiological Signs

Methods of Information in Medicine ◽

10.1055/s-0038-1636606 ◽

1978 ◽

Vol 17 (01) ◽

pp. 36-40 ◽

Cited By ~ 4

Author(s):

J.-P. Durbec ◽

Jaqueline Cornée ◽

P. Berthezene

Keyword(s):

Differential Diagnosis ◽

Mutual Information ◽

Data Processing ◽

Screening Methods ◽

Automatic Data ◽

Chronic Calcifying Pancreatitis ◽

Number Of Patients ◽

Calcifying Pancreatitis ◽

Pancreatic Pathology ◽

Data Screening

The practice of systematic examinations in hospitals and the increasing development of automatic data processing permits the storing of a great deal of information about a large number of patients belonging to different diagnosis groups.To predict or to characterize these diagnosis groups some descriptors are particularly useful, others carry no information. Data screening based on the properties of mutual information and on the log cross products ratios in contingency tables is developed. The most useful descriptors are selected. For each one the characterized groups are specified.This approach has been performed on a set of binary (presence—absence) radiological variables. Four diagnoses groups are concerned: cancer of pancreas, chronic calcifying pancreatitis, non-calcifying pancreatitis and probable pancreatitis. Only twenty of the three hundred and forty initial radiological variables are selected. The presence of each corresponding sign is associated with one or more diagnosis groups.

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Functional magnetic resonance imaging for clinical applications: methods for automated and standardised data processing and management

Aktuelle Neurologie ◽

10.1055/s-2006-953471 ◽

2006 ◽

Vol 33 (S 1) ◽

Author(s):

E. Nennig ◽

M. Blatow ◽

E. Sarpaczki ◽

J. Leon ◽

K. Riffel ◽

...

Keyword(s):

Magnetic Resonance Imaging ◽

Magnetic Resonance ◽

Functional Magnetic Resonance Imaging ◽

Data Processing ◽

Clinical Applications ◽

Functional Magnetic Resonance ◽

Resonance Imaging

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The Software «MMI–calibration 3.0»

Metrologiya ◽

10.32446/0132-4713.2020-3-16-24 ◽

2020 ◽

pp. 16-24

Author(s):

Alexandr D. Chikmarev

Keyword(s):

Power Series ◽

Data Processing ◽

Statistical Treatment ◽

Correction Function ◽

Calibration Function ◽

Measuring Instrument ◽

Working Standard ◽

Calibration Protocol ◽

Error Probabilities ◽

Continuous Power

A single program has been developed to ensure that the final result of the data processing of the measurement calibration protocol is obtained under normal conditions. The calibration result contains a calibration function or a correction function in the form of a continuous sedate series and a calibration chart based on typical additive error probabilities. Solved the problem of the statistical treatment of the calibration protocol measuring in normal conditions within a single program “MMI–calibration 3.0” that includes identification of the calibration function in a continuous power series of indications of a measuring instrument and chart calibration. An example of solving the problem of calibration of the thermometer by the working standard of the 3rd grade with the help of the “MMI-calibration 3.0” program.

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