A comparative analysis of classical machine learning and deep learning techniques for predicting lung cancer survivability.
Shigao HuangIbrahim ArpaciMostafa Al-EmranSerhat KiliçarslanMohammed A. Al-SharafiPublished in: Multim. Tools Appl. (2023)
Keyphrases
- deep learning
- lung cancer
- machine learning
- survival prediction
- unsupervised learning
- unsupervised feature learning
- deep architectures
- learning algorithm
- machine learning methods
- pet ct
- text mining
- pattern recognition
- deep belief networks
- cancer cells
- weakly supervised
- risk factors
- lymph nodes
- expert systems
- lung cancer patients
- information extraction
- probabilistic model
- mental models
- supervised learning
- medical imaging
- object recognition
- markov random field