An Amalgamation of Classical and Quantum Machine Learning For the Classification of Adenocarcinoma and Squamous Cell Carcinoma Patients.
Siddhant JainJalal ZiauddinPaul LeonchykJoseph GeraciPublished in: CoRR (2018)
Keyphrases
- machine learning
- machine learning methods
- pattern recognition
- support vector machine
- decision trees
- supervised learning
- machine learning algorithms
- text classification
- supervised machine learning
- feature selection
- machine learning approaches
- lung disease
- model selection
- classification method
- supervised classification
- pattern classification
- quantum computation
- learning algorithm
- support vector
- unsupervised learning
- data analysis
- class labels
- cell nuclei
- classification accuracy
- natural language processing
- support vector machine svm
- medical data
- active learning
- feature vectors
- patient data
- feature space
- correct classification
- cancer cells
- normal controls
- classification algorithm