Use of AI methods for handling multi-dimensionality and missing values in biomedical data.
Rediona KaneIraklis VarlamisMary YiannakouliaNikolaos SkarmeasPublished in: SETN (2022)
Keyphrases
- low dimensional
- missing values
- biomedical data
- high dimensional data
- ai methods
- high dimensional
- dimensionality reduction
- knowledge driven
- artificial intelligence
- feature space
- data mining methods
- incomplete data
- missing data
- data points
- analytical methods
- multi source
- life sciences
- data mining technology
- data sets
- data reduction
- molecular biology
- systems biology
- databases
- statistical analysis
- information extraction
- training data
- neural network