Early prediction of lung cancer based on the combination of trace element analysis in urine and an Adaboost algorithm

Journal of Pharmaceutical and Biomedical Analysis

Volumn 49, Issue 3, 2009, Pages 746-752

  Tan, Chao ^a   Chen, Hui ^a,b   Xia, Chengyun ^b  

^a YIBIN UNIVERSITY   (China)

^b AFFILIATED HOSPITAL OF NORTH SICHUAN MEDICAL COLLEGE   (China)

Author keywords

Adaboost; Chemometrics; Diagnostics; Lung cancer; Trace element

Indexed keywords

ALUMINUM; CADMIUM; CHROMIUM; COPPER; IRON; MAGNESIUM; NICKEL; SELENIUM; TRACE ELEMENT; ZINC;

ADULT; AGED; ALGORITHM; ARTICLE; CANCER DIAGNOSIS; CLINICAL PRACTICE; CONCENTRATION (PARAMETERS); CONTROLLED STUDY; CORRELATION COEFFICIENT; DISCRIMINANT ANALYSIS; DISEASE MARKER; HUMAN; LUNG CANCER; MACHINE LEARNING; MAJOR CLINICAL STUDY; PARTITION COEFFICIENT; PREDICTION; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY; URINALYSIS;

ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; ARTIFICIAL INTELLIGENCE; DISCRIMINANT ANALYSIS; FEMALE; HUMANS; LUNG NEOPLASMS; MALE; MIDDLE AGED; PREDICTIVE VALUE OF TESTS; SOLVENTS; TRACE ELEMENTS;

EID: 61449171908     PISSN: 07317085     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jpba.2008.12.010     Document Type: Article

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