Utilizing Theory of Machine Learning and Signal Processing to Incorporate Physiological Signals, Assessment of Sympathovagal Imbalance, Conventional and Novel Inflammation and Immune Biomarkers to Develop and Validate the Clinical Prediction Models

Project: National Science and Technology CouncilNational Science and Technology Council Academic Grants

Project Details

Project IDs

Project ID:PC10708-1042
External Project ID:MOST107-2314-B182-052-MY2
Effective start/end date01/08/1831/07/19


  • sepsis
  • biomarker
  • clinical prediction rule
  • emergency medicine
  • latent class analysis
  • cohort study
  • procalcitonin
  • c-reactive protein
  • causal relationship
  • recursive partitioning algorithm
  • risk factor
  • heart rate variability
  • non-invasive monitoring
  • signal processing
  • machine learning
  • artificial intelligence
  • support vector machine
  • artificial neural network


Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.