A Highly Efficient Gene Expression Programming (GEP) Model for Auxiliary Diagnosis of Small Cell Lung Cancer

Lung cancer is an important and common cancer that constitutes a major public health problem, but early detection of small cell lung cancer can significantly improve the survival rate of cancer patients. A number of serum biomarkers have been used in the diagnosis of lung cancers; however, they exhi...

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Veröffentlicht in:	PloS one Jg. 10; H. 5; S. e0125517
Hauptverfasser:	Yu, Zhuang, Lu, Haijiao, Si, Hongzong, Liu, Shihai, Li, Xianchao, Gao, Caihong, Cui, Lianhua, Li, Chuan, Yang, Xue, Yao, Xiaojun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 21.05.2015 Public Library of Science (PLoS)
Schlagworte:	Aged Aged, 80 and over Algorithms Antigens Artificial neural networks Bioindicators Biomarkers Biomarkers, Tumor Blood levels C-reactive protein Cancer Cancer diagnosis Cancer therapies Carcinoembryonic antigen Case-Control Studies Cell survival Chloride Chlorides Cytokines Development and progression Diagnosis Efficiency Embryos Female Gene expression Gene Expression Profiling Genetic aspects Hospitals Humans Internal medicine L-Lactate dehydrogenase Laboratories Lactate dehydrogenase Lactic acid Lung cancer Lung diseases Lung Neoplasms - blood Lung Neoplasms - diagnosis Lung Neoplasms - genetics Lungs Male Measurement methods Medical diagnosis Medical prognosis Medical research Medical screening Medicine Middle Aged Model accuracy Models, Biological Neoplasm Staging Neural networks NMR Non-small cell lung carcinoma Nuclear magnetic resonance Oncology Parameter modification Patients Pharmacy Phosphopyruvate hydratase Physiological aspects Proteins Public health Reproducibility of Results Risk Factors ROC Curve Sensitivity Small cell lung cancer Small cell lung carcinoma Small Cell Lung Carcinoma - blood Small Cell Lung Carcinoma - diagnosis Small Cell Lung Carcinoma - genetics Survival Test sets Thoracic surgery Tomography Training China
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
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