Application of Machine Learning Algorithms for Identification of Contaminated Blood Samples: Accuracy and Validity Examination.
Jason V. MancusoPeter ShortEdumnds ReineksElena A. ManilichPublished in: AMIA (2017)
Keyphrases
- machine learning algorithms
- predictive accuracy
- benchmark data sets
- learning algorithm
- decision trees
- machine learning methods
- machine learning
- machine learning models
- learning problems
- random forests
- high accuracy
- machine learning approaches
- learning tasks
- input features
- data sets
- decision tree learners
- machine learning systems
- learning models
- training samples
- general purpose
- pairwise
- real world