Publications (6)0 Total impact
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Rajmund Somorjai,
Murray Alexander,
Richard Baumgartner,
Stephanie Booth,
Christopher Bowman,
Aleksander Demko,
Brion Dolenko,
Marina Mandelzweig,
Aleksander Nikulin,
Nicolino Pizzi,
Erinija Pranckeviciene,
Arthur Summers, Peter Zhilkin
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ABSTRACT: While biomedical data acquired from the latest spectroscopic modalities yield important information relevant to many diagnostic
or prognostic procedures, they also present significant challenges for analysis, classification and interpretation. These
challenges include sample sparsity, high-dimensional feature spaces, and noise/artifact signatures. Since a dataindependent
‘universal’ classifier does not exist, a classification strategy is needed, possessing five key components acting in concert:
data visualization, preprocessing, feature space dimensionality reduction, reliable/robust classifier development, and classifier
aggregation/fusion. These components, which should be flexible, data-driven, extensible, and computationally efficient, must
provide accurate, reliable diagnosis/prognosis with the fewest maximally discriminatory, yet medically interpretable, features.
09/2007: pages 67-85;
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Rajmund Somorjai,
M. Alexander,
R Baumgartner,
S. Booth,
Christopher Bowman,
Aleksander Demko,
Brion Dolenko,
M. Mandelzweig,
A. Nikulin,
Nick Pizzi,
N. Pranckeviciene,
Arthur Summers, Peter Zhilkin