Accurate classification of depression through optimized machine learning models on high-dimensional noisy data.
Xingang FangJulia KlawohnAlexander De SabatinoHarsh KundnaniJonathan RyanWeikuan YuGreg HajcakPublished in: Biomed. Signal Process. Control. (2022)
Keyphrases
- noisy data
- accurate classification
- machine learning models
- high dimensional
- spam filtering
- classification accuracy
- machine learning algorithms
- classification algorithm
- supervised learning
- machine learning approaches
- high dimensionality
- machine learning
- missing data
- feature selection
- feature space
- learning models
- predictive model
- training data
- input data
- low dimensional
- dimensionality reduction
- high dimensional data
- missing values
- data sets
- training samples
- knowledge discovery
- pattern recognition
- data mining