A machine learning-based clinical decision support system to identify prescriptions with a high risk of medication error.
Jennifer CornyAsok RajkumarOlivier MartinXavier DodeJean-Patrick LajonchèreOlivier BilluartYvonnick BézieAnne BuronfossePublished in: J. Am. Medical Informatics Assoc. (2020)
Keyphrases
- high risk
- machine learning
- clinical decision support systems
- risk factors
- prostate cancer
- statistical methods
- clinical practice
- pattern recognition
- knowledge discovery
- clinical trials
- active learning
- natural language processing
- machine learning algorithms
- machine learning methods
- learning algorithm
- data analysis
- management system
- medical diagnosis
- data mining