Functionality of empirical model-based predictive analytics for the early detection of hemodynamic instability

51st Annual Rocky Mountain Bioengineering Symposium, RMBS 2014 and 51st International ISA Biomedical Sciences Instrumentation Symposium 2014

Volumn , Issue , 2014, Pages 219-224

  Summers, Richard L ^a   Pipke, Matt ^b   Wegerich, Stephan ^b   Conkright, Gary ^b   Isom, Kristen C ^a  

^a UNIVERSITY OF MISSISSIPPI SCHOOL OF MEDICINE   (United States)

^b VGBio   (United States)

Author keywords

Hemodynamic; Monitoring; Predictive analytics

Indexed keywords

ARTIFICIAL INTELLIGENCE; DETERIORATION; EXPERIMENTS; HEMODYNAMICS; LEARNING SYSTEMS; MONITORING;

CIRCULATORY PHYSIOLOGY; CLINICAL INFORMATION; COMPLEX CONTROL SYSTEMS; CONVENTIONAL MONITORING; HEMODYNAMIC INSTABILITY; MACHINE LEARNING METHODS; PREDICTIVE ANALYTICS; SIMILARITY-BASED MODELING;

COMPUTER SIMULATION;

EID: 84904878505     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

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10. Summers RL, Coleman TG, Hester RL. Development of a physiology-based computer model algorithm for the prediction of patient specific ScVO2 measurements from noninvasive clinical monitoring. FDA & NHLBI Third annual workshop on cardiovascular device modeling: The integration of nonclinical and computer models. 2010.
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