Development of an optimized multi-biomarker panel for the detection of lung cancer based on principal component analysis and artificial neural network modeling

Expert Systems with Applications

Volumn 39, Issue 12, 2012, Pages 10851-10856

  Flores Fernández, José Miguel ^a   Herrera López, Enrique J ^a   Sánchez Llamas, Francisco ^b   Rojas Calvillo, Antonio ^c   Cabrera Galeana, Paula Anel ^c   Leal Pacheco, Gisela ^a   González Palomar, María Guadalupe ^a   Femat, R ^d   Martínez Velázquez, Moisés ^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; Biomarkers; Diagnosis; Lung cancer; Principal component analysis

Indexed keywords

ARTIFICIAL NEURAL NETWORK MODELING; CHRONIC OBSTRUCTIVE PULMONARY DISEASE; CLASSIFICATION RATES; CLINICAL SETTINGS; CONTROL SUBJECT; DETECTION METHODS; DIAGNOSTIC CAPABILITIES; HETEROGENEOUS DISEASE; LOW SENSITIVITY; LUNG CANCER; MORTALITY RATE; POTENTIAL TOOL; SIMULTANEOUS ANALYSIS; SURVIVAL RATE;

BIOMARKERS; DIAGNOSIS; NEURAL NETWORKS; OPTIMIZATION; PRINCIPAL COMPONENT ANALYSIS; PULMONARY DISEASES;

BIOLOGICAL ORGANS;

EID: 84861186580     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2012.03.008     Document Type: Article

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