Classification of the likelihood of colon cancer with machine learning techniquesusing FTIR signals obtained from plasma.
Suat ToramanMustafa GirginBilal ÜstündagIbrahim TürkogluPublished in: Turkish J. Electr. Eng. Comput. Sci. (2019)
Keyphrases
- machine learning
- colon cancer
- decision trees
- machine learning methods
- pattern recognition
- text classification
- tissue samples
- cancer diagnosis
- supervised learning
- support vector machine
- model selection
- machine learning algorithms
- classification accuracy
- support vector machine svm
- image classification
- cancer classification
- eeg signals
- microarray
- feature vectors
- support vector
- data analysis
- gene selection
- feature selection
- training set
- svm classifier
- unsupervised learning
- microarray data
- cost sensitive
- feature set
- feature extraction
- data sets