Premium
Pattern recognition in clinical chemistry: Tumor markers
Author(s) -
Lanteri S.,
Conti P.,
Berbellini A.,
Centioni G.,
Polzonetti A.,
Marassi R.,
Zamponi S.
Publication year - 2005
Publication title -
journal of chemometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.47
H-Index - 92
eISSN - 1099-128X
pISSN - 0886-9383
DOI - 10.1002/cem.1180030521
Subject(s) - pattern recognition (psychology) , artificial intelligence , bayesian probability , data set , computer science , mathematics , computational biology , biology
Abstract Pattern recognition techniques (PCA, Bayesian analysis, LDA and KNN) are applied to a set of data composed of cancer patients and controls. A rather good separation between different populations is obtained using four tumor markers determined for each patient.