Ensemble-imbalance-based classification for amyotrophic lateral sclerosis prognostic prediction: identifying short-survival patients at diagnosis.
Fabiano PapaizMario Emílio Teixeira DouradoRicardo Alexsandro de Medeiros ValentimRafael PintoAntonio Higor Freire de MoraisJoel Perdiz ArraisPublished in: BMC Medical Informatics Decis. Mak. (2024)
Keyphrases
- survival prediction
- kaplan meier
- amyotrophic lateral sclerosis
- breast cancer patients
- ensemble classifier
- breast cancer
- training set
- survival analysis
- lung cancer
- survival data
- prediction accuracy
- imbalanced data
- clinical diagnosis
- feature selection
- prognostic models
- classification accuracy
- predictive modeling
- intensive care
- classifier ensemble
- gene selection
- class imbalance
- machine learning
- clinical data
- neural network
- classification models
- ensemble methods
- normal controls
- medical doctors
- pattern recognition
- decision trees
- cost sensitive
- classification algorithm
- information processing
- diagnostic tests
- spect images
- training samples
- support vector machine
- feature space