Predicting diabetes diseases using mixed data and supervised machine learning algorithms.
Othmane DaanouniBouchaib CherradiAmal TmiriPublished in: SCA (2019)
Keyphrases
- mixed data
- supervised machine learning algorithms
- cardiovascular disease
- data sets
- risk factors
- data compression
- diabetes mellitus
- knn
- mixture of gaussian distributions
- diabetic patients
- similarity function
- high risk
- health related
- clustering algorithm
- neural network
- health care
- k means
- distance measure
- wavelet transform
- support vector machine
- active learning
- image segmentation
- medical practitioners
- database