Artifact Detection in Invasive Blood Pressure Data using Forecasting Methods and Machine Learning

Business & Economics

• Anomaly Detection 56%
• Blood Pressure 100%
• Data Quality 19%
• Experiment 10%
• Forecasting Method 76%
• Health 11%
• Intensive Care Unit 24%
• Labeling 18%
• Learning Algorithm 20%
• Learning Strategies 26%
• Machine Learning 91%
• Patient Outcomes 23%
• Performance 26%
• Surgery 16%

Medicine & Life Sciences

• Arterial Pressure 14%
• Artifacts 67%
• Blood Pressure 44%
• Data Accuracy 18%
• Datasets 13%
• Health 8%
• Heart Rate 12%
• Intensive Care Units 14%
• Machine Learning 78%
• Noise 16%
• Vital Signs 58%

Engineering & Materials Science

• Anomaly detection 48%
• Blood pressure 80%
• Experiments 8%
• Health 16%
• Intensive care units 30%
• Labeling 22%
• Learning algorithms 19%
• Machine learning 50%
• Surgery 23%