A hierarchical switching linear dynamical system applied to the detection of sepsis in neonatal condition monitoring

Uncertainty in Artificial Intelligence - Proceedings of the 30th Conference, UAI 2014

Volumn , Issue , 2014, Pages 752-761

  Stanculescu, Ioan ^a   Williams, Christopher K I ^a   Freer, Yvonne ^b  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

^b UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CONDITION MONITORING; DYNAMICAL SYSTEMS; INTENSIVE CARE UNITS; LINEAR CONTROL SYSTEMS; NEONATAL MONITORING; PHYSIOLOGY; SEMANTICS;

AUTO-REGRESSIVE; DISCRETE VARIABLES; GROUND TRUTH; PHYSIOLOGICAL FACTORS; SWITCHING LINEAR DYNAMICAL SYSTEMS; VITAL SIGN;

PHYSIOLOGICAL MODELS;

EID: 84923282890     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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