A hierarchical system of on-line advisory for monitoring and controlling the depth of anaesthesia using self-organizing fuzzy logic

Engineering Applications of Artificial Intelligence

Volumn 18, Issue 3, 2005, Pages 307-316

  Shieh, J S ^a   Linkens, D A ^b   Asbury, A J ^c  

^a YUAN ZE UNIVERSITY   (Taiwan)

^b UNIVERSITY OF SHEFFIELD   (United Kingdom)

^c UNIVERSITY OF GLASGOW   (United Kingdom)

Author keywords

Depth of anaesthesia; Hierarchical architecture; Machine learning; Self organizing fuzzy logic; Self organizing learning system

Indexed keywords

ALGORITHMS; DRUG PRODUCTS; FORMAL LOGIC; FUZZY SETS; HIERARCHICAL SYSTEMS; LEARNING SYSTEMS; ONLINE SYSTEMS; PATIENT MONITORING; TELEMEDICINE;

DEPTH OF ANAESTHESIA (DOA); HIERARCHICAL ARCHITECTURE; SELF-ORGANIZING FUZZY LOGIC; SELF-ORGANIZING LEARNING SYSTEMS;

ANESTHETICS;

EID: 14844284637     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2004.09.009     Document Type: Article

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