Artificial neural network-based serum biomarkers analysis improves sensitivity in the diagnosis of lung cancer

IFMBE Proceedings

Volumn 33 IFMBE, Issue , 2013, Pages 882-885

  Flores, J M ^a   Herrera, E ^a   Leal, G ^a   Gonzalez M G ^a   Sanchez F ^b   Rojas, A ^c   Cabrera, P A ^c   Femat, R ^d   Martinez Velazquez M ^a  

^a CENTRO DE INVESTIGACIÓN Y ASISTENCIA EN TECNOLOGÍA Y DISEÑO DEL ESTADO DE JALISCO   (Mexico)

^b HOSPITAL CIVIL DE GUADALAJARA FRAY ANTONIO ALCALDE   (Mexico)

^c Centro Oncológico Estatal ISSEMYM   (Mexico)

^d INSTITUTO POTOSINO DE INVESTIGACIÓN CIENTÍFICA Y TECNOLÓGICA   (Mexico)

Author keywords

Artificial Neural Network; Biomarker; diagnosis; Lung Cancer; Principal Component Analysis

Indexed keywords

COMPUTATIONAL TOOLS; DIAGNOSIS OF LUNG CANCER; INITIAL VECTORS; LUNG CANCER; LUNG CANCER DETECTIONS; LUNG CANCER DIAGNOSIS; RESEARCH ISSUES; SERUM BIOMARKERS;

BIOLOGICAL ORGANS; BIOMARKERS; BIOMEDICAL ENGINEERING; DISEASES; NEURAL NETWORKS; PATIENT TREATMENT; PRINCIPAL COMPONENT ANALYSIS; SENSITIVITY ANALYSIS;

DIAGNOSIS;

EID: 84875040153     PISSN: 16800737     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-642-21198-0_224     Document Type: Conference Paper

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