scholarly journals APPLICATION OF THE STATISTICAL PACKAGE PSPP (PROGRAM FOR STATISTICAL ANALYSIS OF SAMPLED DATA) FOR COURSE «MEDICAL COMPUTER SCIENCE»

2021 ◽  
Vol 1 (№6 2021) ◽  
pp. 197-202
Author(s):  
O.A. Stepanova ◽  
G.A. Didenko ◽  
S.T. Kasyuk
Keyword(s):  
Statistical Analysis ◽  
Computer Science ◽  
Sampled Data ◽  
Medical Computer

Simulations in orthopedics and rehabilitation – Part II: computer simulations

2016 ◽  
Vol 12 (4) ◽  
Author(s):  
Jacek Dygut ◽  
Piotr Piwowar ◽  
Maria Gołda ◽  
Krzysztof Popławski ◽  
Robert Jakubas ◽  
...  
Keyword(s):  
Decision Making ◽  
Computer Science ◽  
Computer Simulations ◽  
Medical Practice ◽  
Decision Making Process ◽  
Laboratory Conditions ◽  
Biological Phenomena ◽  
Medical Computer ◽  
Manual Skills ◽  
Research And Education

AbstractSimulations in medicine have already become the mainstream trend in the field of research and education. It includes simulations on simulators through which students are afforded the opportunity to train manual skills as well as series of simulations that enable one to train not just motor and manual skills alone. Some of these offer the student the basis to train decision-making process and conduct experiments that visualize biological phenomena that are important from a doctor’s perspective. The authors have done a review of medical computer simulations and found that simulations in medicine focus, in respect of the issues raised, on techniques and computer science aspects. The first one is discussed in the paper “Simulations in orthopedics and rehabilitation – Part I: Simulators.” The second one is discussed in this paper. In the paper, the authors focus on computer simulations, in the broadest sense, presenting them while taking into consideration the distinction between simulations used for the following purposes: test (conducted under laboratory conditions), training (incorporated into school, universities syllabus), and diagnostic and therapeutic (within the hospital, clinics, private medical practice).

The Need for “Complementary Information” in the Medical Computer File

1978 ◽  
Vol 17 (04) ◽  
pp. 247-251 ◽  
Author(s):  
D. Lahaye ◽  
D. Roosels ◽  
J. Viaene
Keyword(s):  
Statistical Analysis ◽  
The Other ◽  
Computer File ◽  
Complementary Information ◽  
Batch Systems ◽  
Batch System ◽  
Frequency Of Use ◽  
Medical Computer ◽  
Complete Exclusion ◽  
The Individual

The use by the physician of the possibility to add complementary information (C. I.) to each question of a computer file has been analysed using both »APL« and »batch« systems.The analysis of the frequency of use of C.I. by APL leads to the following conclusions: There exist great differences between several physicians in the interpretation of some questions, the ratio of C. I. utilisation frequency reaching in some cases 2:1. This seems clue to the individual »intuitive« approach in each medical examination. The fact that the C. I. is not always filled in at the same place makes this information worthless for statistical analysis.The analysis of the content of the C. I. using the »batch« system makes it possible to identify the questions for which a better instruction of the physician is needed on one hand, and those for which a correction of the question text is necessary on the other hand. The authors think that the complete exclusion of a C. I. possibility is not practicable.

scholarly journals The Question of Cycling of the Blood Neutrophil Concentrations and Pitfalls in the Statistical Analysis of Sampled Data

Blood ◽  
1973 ◽  
Vol 41 (1) ◽  
pp. 85-91 ◽  
Author(s):  
W. Z. Maughan ◽  
C. R. Bishop ◽  
T. A. Pryor ◽  
J. W. Athens
Keyword(s):  
Statistical Analysis ◽  
Power Spectrum ◽  
Spectrum Analysis ◽  
Missing Values ◽  
Power Spectrum Analysis ◽  
Normal Male ◽  
Random Numbers ◽  
Cyclic Variation ◽  
Blood Neutrophil ◽  
Sampled Data

Abstract To test the hypothesis that there is normally a 14-21 day cycle in blood neutrophil concentration, the blood of 13 normal male volunteers was sampled daily for 42 consecutive days. No evidence for cyclic variation in neutrophil concentration was found. The effect of deleting four samples per week and interpolating values linearly or parabolically was tested by power spectrum analysis, since this type of analysis was used in the studies in which cycling was found. The interpolation of missing values was found to introduce apparent cycling, and the results of the analysis of daily neutrophil counts was no different than that obtained with a series of random numbers.

scholarly journals ECONOMETRICAL MODELING OF THE STRUCTURE OF MULTIDIMENSIONAL STATISTICAL INTERRELATIONS

2019 ◽  
Vol 8 (6) ◽  
Author(s):  
Alexander K. Rozentsvaig ◽  
Aleksej G. Isavnin ◽  
Anton N. Karamyshev
Keyword(s):  
Statistical Analysis ◽  
Statistical Models ◽  
Information Technologies ◽  
Sampled Data ◽  
Distribution Law ◽  
Multivariate Statistical ◽  
Correlation Matrices ◽  
Multidimensional Distribution ◽  
Theoretical Concepts ◽  
Economic Phenomenon

In economics, the general theory is largely descriptive, and mathematical models are not only statistical but also partial. Therefore, an economic phenomenon usually requires using partial methods and getting only private solutions limited by particular conditions - the type of activity, its place and time of implementation. The real idea of the nature of the economic phenomenon that interests us is given only by statistical data. Correlation analysis is a time-consuming and completely non-formalizable task when it is necessary to justify the relationship structure of a large number of factors. In addition, the quality and interpretation of the results of statistical analysis are predetermined by the nature of the statistical models used to obtain sample estimates of their parameters. Due to the complexity of multidimensional statistical models, general theoretical concepts are usually limited by the assumption that the sampled data does not contradict the normal multidimensional distribution law. This greatly simplifies multivariate statistical analysis and therefore it always leads to linear regression relationships, which corresponds to a trivial system of correlation relationships and is rarely observed in reality. The structure of each economic object is unique, therefore, it is proposed to refine it using a system of correlation matrices of various orders. It is shown that the generalization of large volumes of multidimensional sample data in the form of “portraits” of correlation matrices clearly represents the specific features of the object of study. Moreover, the empirical system of statistically significant relationships is transformed into the corresponding model of economic relationships. Prerequisites are being created for the practical use of universal systems analysis methods based on modern theoretical and software tools of information technologies

An Immersion Course in Basic

1982 ◽  
Vol 10 (4) ◽  
pp. 321-329 ◽  
Author(s):  
Francis E. Masat
Keyword(s):  
Statistical Analysis ◽  
Computer Science ◽  
Large Time ◽  
Short Term ◽  
Extensive Experience ◽  
Introductory Computer Science ◽  
Class Discussions ◽  
Computer Environment ◽  
Summer Session ◽  
Curricular Structure

Intensive short-term (immersion) courses have been used in business and industrial settings for many years. This article documents a twelve-day undergraduate immersion course in introductory computer science. Four days per week for three weeks are used for an entire course, including programming, class discussions, homework, and hour exams; extensive experience is provided in programming microcomputers and time-shared computers with BASIC and WATIV. The article includes a description of the experience for the years 1979–1981, including the computer environment, curricular structure, and class evaluations. Comparisons are made to semester and summer session classes, and a statistical analysis is presented. It was found that as much is learned and experienced in the twelve-day course as in a semester or summer course. Evidence is provided that supports the claim that networks of microcomputers can offer more flexibility and throughput than large time-shared systems.

Update on the status of medical computer science programs in the U.S. - 1979

1980 ◽  
Vol 4 (3) ◽  
pp. 7-14 ◽  
Author(s):  
Lynn L. Peterson ◽  
Joan S. Reisch
Keyword(s):  
Computer Science ◽  
Medical Computer ◽  
The Status ◽  
The U.S
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