An Ideology for the Prediction of Critical Haplotype Blocks of Variants in Genes (Cyp2c9 And Vkorc1) for Warfarin (Anticoagulant) Drug Dosage to Treat Heart Patients Efficiently by Using Ml (Machine Learning) and Data Stream Mining Techniques.
Hina SaeedaMuhammad Adil AbidPublished in: ICAIP (2019)
Keyphrases
- data stream mining
- machine learning
- heart disease
- data streams
- data mining
- high risk
- concept drift
- cardiovascular disease
- clinical trials
- streaming data
- gene expression
- gene expression data
- microarray data
- drug design
- gene ontology
- knowledge discovery
- text mining
- decision trees
- feature selection
- real world
- data sets
- multi dimensional
- sequence data
- data structure