Use of multidimensional data analysis for prediction of lung malignity

Journal of Pharmaceutical and Biomedical Analysis

Volumn 50, Issue 2, 2009, Pages 210-215

  Mrázová, Viera ^a   Mocák, Ján ^a   Varmusová, Elena ^b   Kavková, Denisa ^b   Bednárová, Adriana ^a  

^a UNIVERSITY OF SS CYRIL AND METHODIUS   (Slovakia)

^b Institute for Tuberculosis and Respiratory Diseases   (Slovakia)

Author keywords

Lung malignity; Multidimensional analysis; ROC curves; Tumor markers

Indexed keywords

CARCINOEMBRYONIC ANTIGEN; CYTOKERATIN 19 FRAGMENT; TUMOR MARKER;

ANALYSIS OF VARIANCE; ARTICLE; ARTIFICIAL NEURAL NETWORK; BLOOD LEVEL; CHEMOMETRIC ANALYSIS; CLUSTER ANALYSIS; CONTROLLED STUDY; CORRELATION ANALYSIS; DATA ANALYSIS; DIAGNOSTIC PROCEDURE; FEMALE; HUMAN; LABORATORY TEST; LUNG TUMOR; MAJOR CLINICAL STUDY; MALE; PLEURA FLUID; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; ROC CURVE;

ANALYSIS OF VARIANCE; ANTIGENS, NEOPLASM; CARCINOEMBRYONIC ANTIGEN; CLUSTER ANALYSIS; HUMANS; KERATIN-19; LUNG NEOPLASMS; NEURAL NETWORKS (COMPUTER); PLEURAL EFFUSION; ROC CURVE; TUMOR MARKERS, BIOLOGICAL;

EID: 67349229793     PISSN: 07317085     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jpba.2009.04.018     Document Type: Article

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