Abstract
Two-dimensional gel electrophoresis is a biochemical technique for protein separation, producing complex images containing thousands of spots. Their expert system assisted interpretation would be of great use in a clinical environment. Nevertheless, there are currently no experts capable of analysing these images. A machine learning system is presented that allows the expert system to acquire new knowledge and to formulate rules to diagnose new diseases from such a picture. A heuristic clustering method is used to group the images into separate classes and to determine the typical spots for each disease.
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References
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© 1987 Springer-Verlag Berlin Heidelberg
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Funk, M., Appel, R.D., Roch, C., Hochstrasser, D., Pellegrini, C., Müller, A.F. (1987). Knowledge acquisition in expert system assisted diagnosis : a machine learning approach. In: Fox, J., Fieschi, M., Engelbrecht, R. (eds) AIME 87. Lecture Notes in Medical Informatics, vol 33. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-95549-5_11
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DOI: https://doi.org/10.1007/978-3-642-95549-5_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-18402-7
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