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  • 1
    Electronic Resource
    Electronic Resource
    Neural networks in the diagnosis of malignant ovarian tumours (1999)
    Oxford, UK : Blackwell Publishing Ltd
    BJOG 106 (1999), S. 0 
    Details
    ISSN: 1471-0528
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Medicine
    Notes: Objective To assess the role of neural networks in predicting the likelihood of malignancy in women presenting with ovarian tumours.Design Retrospective case study.Setting University Department of Obstetrics and Gynaecology, St James's Hospital, Leeds.Methods Information from 217 cases with histologically proven benign, borderline or malignant tumours was extracted for study. Four variables (age, ultrasound findings with and without colour Doppler imaging and CA125) were entered in the neural network classifier. The neural network results were compared with logistic regression analysis.Results When used in the neural network the variables of age, CA125 and ultrasound score produced the best result with a sensitivity of 95% and a corresponding specificity of 78% in predicting malignancy. Logistic regression gave a sensitivity or 82% for a specificity of 51%.Conclusion The neural network is a good method of combining diagnostic variables and may be a useful predictor of malignancy in women presenting with ovarian tumours. A comparison of the performance of the neural network with conventional diagnostic methods would be warranted prior to use in clinical practice.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/j.1471-0528.1999.tb08117.x
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    Paper (German National Licenses)
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  • 2
    Electronic Resource
    Electronic Resource
    Cyclosporin-induced periungual granulation tissue (1995)
    Oxford, UK : Blackwell Publishing Ltd
    British journal of dermatology 132 (1995), S. 0 
    Details
    ISSN: 1365-2133
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Medicine
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/j.1365-2133.1995.tb00737.x
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    Paper (German National Licenses)
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  • 3
    Electronic Resource
    Electronic Resource
    A neural network to predict attendance of paediatric patients at outpatient clinics (1995)
    Springer
    Neural computing & applications 3 (1995), S. 234-241 
    Details
    ISSN: 1433-3058
    Keywords: Ambiguous inputs ; Neural network ; Performance metric ; Post-processing ; Pre-processing ; Threshold
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Mathematics
    Notes: Abstract The development of a feed-forward neural network to predict attendance and non-attendance at a hospital outpatient clinic is described. Particular emphasis is given to the post-processing applied to the network output, and to the choice of information presented to the network. The effect of individual inputs on the performance of the network is examined, and two methods of dealing with the problem of ambiguous input data are explored. It is shown that good results (approximately 90% accuracy) are achieved with a feedforward network — having 15 input nodes, a single hidden layer of five nodes and one output node with supervised backpropagation — even where data is limited, and that an understanding of the problem can lead to the modification of standard procedures and improved network performance.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01414648
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    Paper (German National Licenses)
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  • 4
    Electronic Resource
    Electronic Resource
    Comparison of neural networks and statistical models to predict gestational age at birth (1997)
    Springer
    Neural computing & applications 6 (1997), S. 158-164 
    Details
    ISSN: 1433-3058
    Keywords: High risk pregnancy ; Logistic regression ; Neural networks ; Pre-term delivery ; Receiver Operating Characteristic curve
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Mathematics
    Notes: Abstract The aim of this study was to produce models for the prediction of high risk pregnancies, with particular emphasis on pre-term delivery. Neural network and logistic regression models have been developed utilising pregnancy and delivery data spanning a period of seven years. Five input factors were used as explanatory variables: age, number of previous still births, gestational age at first clinical assessment, diabetes and a measure of socio-economic status. There was little difference between average model performance for the two techniques: optimal neural network performance was achieved with a fully connected feed forward network comprising a single hidden layer of three nodes and single output node. This produced a Receiver Operating Characteristic (ROC) curve area of 0.700. The ROC area for logistic regression models was 0.695. The performance of these models reflected weak associations within the data. However, performance is encouraging given the relatively limited number of predictive inputs.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01413827
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  • 5
    Electronic Resource
    Electronic Resource
    A soft X-ray image of the Moon (1991)
    [s.l.] : Nature Publishing Group
    Nature 349 (1991), S. 583-587 
    Details
    ISSN: 1476-4687
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Notes: [Auszug] A soft X-ray image of the Moon obtained by the Röntgen Observatory Satellite ROSAT clearly shows a sunlit crescent, demonstrating that the Moon's X-ray luminosity arises from backscattering of solar X-rays. The Moon's optically dark side is also X-ray dark, and casts a distinct shadow on the ...
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1038/349583a0
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  • 6
    Electronic Resource
    Electronic Resource
    The ROSAT diffuse X-ray background survey (1990)
    Springer
    Astrophysics and space science 171 (1990), S. 207-212 
    Details
    ISSN: 1572-946X
    Source: Springer Online Journal Archives 1860-2000
    Topics: Physics
    Notes: Abstract The quality and capabilities of the ROSAT survey (0.1–2.0 keV) for the study of the diffuse X-ray background and the interstellar medium are discussed. All-sky maps created from data collected during the survey phase of ROSAT operations will greatly exceed previous surveys in spatial resolution (∼5 arc min pixels) and statistical significance (better than 25% for unbinned pixels). The spectral information of the survey will, in general, be greater as well. Finally, because of the survey geometry, very accurate contamination identification and background subtraction will be possible ensuring the reliability of the data.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00646848
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    Paper (German National Licenses)
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  • 7
    Electronic Resource
    Electronic Resource
    Simulated ROSAT observations of clusters of galaxies (1990)
    Springer
    Experimental astronomy 1 (1990), S. 365-388 
    Details
    ISSN: 1572-9508
    Source: Springer Online Journal Archives 1860-2000
    Topics: Physics
    Notes: Abstract Detailed simulations have been made of the search for clusters of galaxies during the ROSAT all-sky x-ray survey (0.1–2 keV). The simulations use a conservative estimate of the cluster luminosity function to create an x-ray catalog specifying cluster position, redshift, flux, temperature and angular extent. This is used in combination with realistic models of the ROSAT scanning motion and of the background due to particles, cosmic x-rays and scattered solar x-rays, to build a simulated ROSAT data base. The data base has been subjected to the ROSAT source search algorithms and the results analyzed. Two cases were considered, a 2-degree wide great circle strip representing the general survey, and a region within 10 degrees of the ecliptic pole, where the exposure is unusually high. We present estimates of the minimum number of clusters to be detected, the fraction recognized as extended x-ray sources, and the minimum detectable energy flux from clusters during the survey.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00426719
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    Paper (German National Licenses)
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