Virtual Patient Generation using Physiological Models through a Compressed Latent Parameterization

Keyphrases

• Physiological Model 100%
• Virtual Patient 100%
• Parameter Space 60%
• Real Patients 40%
• Latent Parameter 40%
• Fluid Resuscitation 20%
• Mathematical Model 20%
• Significant Loss 20%
• Physiological Processes 20%
• Cardiovascular Reactivity 20%
• Hemorrhage Resuscitation 20%
• Subject-specific 20%
• Data-driven Approach 20%
• Calibration Error 20%
• Tunable Parameters 20%

Engineering

• Physiological Models 100%
• Parameter Space 100%
• Mathematical Model 33%

Computer Science

• Virtual Patient 100%
• Parameter Space 60%
• Case Study 20%
• Driven Approach 20%