Customized and Automated Machine Learning-Based Models for Diabetes Type 2 Classification.
Farida MohsenMd. Rafiul BiswasHazrat AliTanvir AlamMowafa HousehZubair ShahPublished in: ICIMTH (2022)
Keyphrases
- machine learning
- machine learning algorithms
- machine learning methods
- decision trees
- pattern recognition
- machine learning approaches
- classification models
- model selection
- supervised learning
- feature selection
- automated classification
- active learning
- support vector machine
- artificial intelligence
- supervised machine learning
- supervised classification
- classification method
- unsupervised learning
- neural network
- text classification
- prior knowledge
- data sets
- data mining
- predictive modeling
- learning models
- statistical methods
- benchmark datasets
- information extraction
- text mining
- class labels
- probabilistic model
- transfer learning
- statistical models
- knowledge acquisition
- inductive logic programming
- feature vectors
- automatic classification
- feature space
- data analysis
- training samples
- semi supervised learning
- diabetic patients