Self-organising discovery, recognition and prediction of haemodynamic patterns in the intensive care unit

Medical and Biological Engineering and Computing

Volumn 35, Issue 2, 1997, Pages 117-123

  Spencer, R G ^a   Lessard, C S ^a   Davila, F ^b   Etter, B ^a  

^a TEXAS A AND M UNIVERSITY   (United States)

^b SCOTT AND WHITE MEMORIAL HOSPITAL   (United States)

Author keywords

Adaptive resonance theory; Adaptive spectral timing; Artificial neural networks; Haemodynamic pattern recognition; Hebbian learning; Intensive care unit; Leaky integrators; Medical information processing; Procedural knowledge; Short term memory

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; CRITICAL ILLNESS; EXPERT SYSTEM; HEMODYNAMIC PARAMETERS; INTENSIVE CARE UNIT; PATTERN RECOGNITION; PREDICTION;

EXPERT SYSTEMS; HOSPITAL DATA PROCESSING; INTENSIVE CARE UNITS; NEURAL NETWORKS; PATTERN RECOGNITION; PHYSIOLOGY;

ADAPTIVE RESONANCE THEORY; ADAPTIVE SPECTRAL TIMING; EXPERT SYSTEM DYNASCENE; HEBBIAN LEARNING; HEMODYNAMIC PATTERNS;

HEMODYNAMICS;

EID: 0030616086     PISSN: 01400118     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF02534141     Document Type: Article

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