作者: N. Gitlin , D.L. Hudson , M.E. Cohen , J. Van den Bogaerde , L.T. Mann
DOI:
关键词: Supervised learning 、 Ascitic fluid 、 Linear discriminant analysis 、 Pattern recognition 、 Pattern analysis 、 Pattern recognition (psychology) 、 Spontaneous bacterial peritonitis 、 Artificial intelligence 、 Medicine
摘要: Abstract Pattern recognition techniques have been applied in a number of medical applications. In the method described here, new orthogonal polynomials developed by Cohen are used as potential functions supervised learning approach to pattern recognition. This is analysis chromatograms obtained from ascitic fluid taken patients who spontaneous bacterial peritonitis, well control group. The show presence organic acids fluid. The objective obtain identifying with peritonitis chromatogram. Results that high ninety-seven percent cases may be classified correctly using this method. also compared standard statistical discriminant techniques, and shown superior.