Prediction of short-term health outcomes in preterm neonates from heart-rate variability and blood pressure using boosted decision trees.
Oksana SemenovaGiorgia CarraGordon LightbodyGeraldine B. BoylanEugene M. DempseyAndriy TemkoPublished in: Comput. Methods Programs Biomed. (2019)
Keyphrases
- short term
- heart rate
- heart rate variability
- blood pressure
- long term
- load forecasting
- boosted decision trees
- short term prediction
- arima model
- short term and long term
- prognostic models
- intensive care unit
- logistic regression models
- ecg signals
- machine learning
- prediction model
- risk factors
- machine learning methods
- health care
- learning algorithm