Lung Cancer Prediction Using Neural Network Ensemble with Histogram of Oriented Gradient Genomic Features
Joint Authors
Olugbara, Oludayo
Adetiba, Emmanuel
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-02-23
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
This paper reports an experimental comparison of artificial neural network (ANN) and support vector machine (SVM) ensembles and their “nonensemble” variants for lung cancer prediction.
These machine learning classifiers were trained to predict lung cancer using samples of patient nucleotides with mutations in the epidermal growth factor receptor, Kirsten rat sarcoma viral oncogene, and tumor suppressor p53 genomes collected as biomarkers from the IGDB.NSCLC corpus.
The Voss DNA encoding was used to map the nucleotide sequences of mutated and normal genomes to obtain the equivalent numerical genomic sequences for training the selected classifiers.
The histogram of oriented gradient (HOG) and local binary pattern (LBP) state-of-the-art feature extraction schemes were applied to extract representative genomic features from the encoded sequences of nucleotides.
The ANN ensemble and HOG best fit the training dataset of this study with an accuracy of 95.90% and mean square error of 0.0159.
The result of the ANN ensemble and HOG genomic features is promising for automated screening and early detection of lung cancer.
This will hopefully assist pathologists in administering targeted molecular therapy and offering counsel to early stage lung cancer patients and persons in at risk populations.
American Psychological Association (APA)
Adetiba, Emmanuel& Olugbara, Oludayo. 2015. Lung Cancer Prediction Using Neural Network Ensemble with Histogram of Oriented Gradient Genomic Features. The Scientific World Journal،Vol. 2015, no. 2015, pp.1-17.
https://search.emarefa.net/detail/BIM-1079141
Modern Language Association (MLA)
Adetiba, Emmanuel& Olugbara, Oludayo. Lung Cancer Prediction Using Neural Network Ensemble with Histogram of Oriented Gradient Genomic Features. The Scientific World Journal No. 2015 (2015), pp.1-17.
https://search.emarefa.net/detail/BIM-1079141
American Medical Association (AMA)
Adetiba, Emmanuel& Olugbara, Oludayo. Lung Cancer Prediction Using Neural Network Ensemble with Histogram of Oriented Gradient Genomic Features. The Scientific World Journal. 2015. Vol. 2015, no. 2015, pp.1-17.
https://search.emarefa.net/detail/BIM-1079141
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1079141