Lung Cancer Prediction Using Neural Network Ensemble with Histogram of Oriented Gradient Genomic Features
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 mu...
Saved in:
Main Authors: | Emmanuel Adetiba, Oludayo O. Olugbara |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2015-01-01
|
Series: | The Scientific World Journal |
Online Access: | http://dx.doi.org/10.1155/2015/786013 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Feature Extraction using Histogram of Oriented Gradients and Moments with Random Forest Classification for Batik Pattern Detection
by: wafiq azizah, et al.
Published: (2025-01-01) -
Pengenalan Jalan Berlubang Berbasis Vision Menggunakan Pyramid Histogram Of Oriented Gradients
by: Ahmad Habib Fitriansyah, et al.
Published: (2023-07-01) -
Volatile Organic Compounds for the Prediction of Lung Cancer by Using Ensembled Machine Learning Model and Feature Selection
by: Divya Khanna, et al.
Published: (2025-01-01) -
Fast Channel Navigation of Internet Protocol Television Using Adaptive Hybrid Delivery Method
by: Timothy T. Adeliyi, et al.
Published: (2018-01-01) -
Minimizing Zapping Delay Using Adaptive Channel Switching with Personalized Electronic Program Guide
by: Timothy T. Adeliyi, et al.
Published: (2021-01-01)