Application of an artificial neural network model for selection of potential lung cancer biomarkers

Journal of Breath Research

Volumn 9, Issue 2, 2015, Pages

  Ligor, Tomasz ^a   Pater, Łukasz ^a   Buszewski, Bogusław ^a  

^a NICOLAUS COPERNICUS UNIVERSITY   (Poland)

Author keywords

artificial neural network; breath analysis; genetic algorithm; relational sql database; volatile organic compounds

Indexed keywords

BIOLOGICAL MARKER; VOLATILE ORGANIC COMPOUND; TUMOR MARKER;

ADULT; AMBIENT AIR; ANALYTIC METHOD; ARTICLE; ARTIFICIAL NEURAL NETWORK; BREATH ANALYSIS; COMPUTER PROGRAM; CONTROLLED STUDY; FEMALE; GENETIC ALGORITHM; HUMAN; LUNG CANCER; MAJOR CLINICAL STUDY; MALE; MASS FRAGMENTOGRAPHY; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY; SOLID PHASE MICROEXTRACTION; VALIDATION STUDY; ADENOCARCINOMA; AGED; CARCINOMA, NON-SMALL-CELL LUNG; CASE CONTROL STUDY; EXHALATION; LUNG NEOPLASMS; MASS SPECTROMETRY; METABOLISM; MIDDLE AGED; PROCEDURES; SMALL CELL LUNG CARCINOMA; SMOKING; VERY ELDERLY; YOUNG ADULT;

ADENOCARCINOMA; ADULT; AGED; AGED, 80 AND OVER; BIOMARKERS, TUMOR; BREATH TESTS; CARCINOMA, NON-SMALL-CELL LUNG; CASE-CONTROL STUDIES; EXHALATION; FEMALE; GAS CHROMATOGRAPHY-MASS SPECTROMETRY; HUMANS; LUNG NEOPLASMS; MALE; MASS SPECTROMETRY; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); SENSITIVITY AND SPECIFICITY; SMALL CELL LUNG CARCINOMA; SMOKING; SOLID PHASE MICROEXTRACTION; VOLATILE ORGANIC COMPOUNDS; YOUNG ADULT;

EID: 84930621400     PISSN: 17527155     EISSN: 17527163     Source Type: Journal    
DOI: 10.1088/1752-7155/9/2/027106     Document Type: Article

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