Insights on prediction of patients' response to anti-HIV therapies through machine learning.
Rogério S. RosaRafael H. S. SantosAdamo Y. BritoKatia S. GuimarãesPublished in: IJCNN (2014)
Keyphrases
- machine learning
- clinical trials
- prediction accuracy
- human immunodeficiency virus
- data mining
- medical devices
- natural language processing
- machine learning methods
- knowledge acquisition
- prediction algorithm
- feature selection
- prediction error
- machine learning algorithms
- text mining
- learning algorithm
- patient data
- survival analysis
- clinical data
- disease progression
- medical data
- kaplan meier
- acute myeloid
- decision trees
- information extraction
- pattern recognition
- data analysis
- computer vision
- body mass index
- neural network
- outcome prediction
- reinforcement learning
- protein secondary structure prediction
- magnetic resonance images
- predictive modeling
- active learning
- high risk
- supervised learning
- model selection
- artificial intelligence