Comparison efficiency of the artificial intelligence methods for the diagnosis of acid - Base and anion gap disorders

Studies in Health Technology and Informatics

Volumn 116, Issue , 2005, Pages 235-240

  Kacki, Edward ^a   Malolepszy, Andrzej ^b  

^a College of Computer Science in Lodz ^*  (Poland)

^b LODZ UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

Artificial intelligence; Diagnosis; Medical informatics

Indexed keywords

ARTIFICIAL INTELLIGENCE; EFFICIENCY; ELECTROLYTES; NEURAL NETWORKS; SOFTWARE TESTING;

ACID BASE; ACID-BASE DISORDERS; ACID-BASE STATUS; ARTIFICIAL INTELLIGENCE METHODS; FUZZY NEURAL SYSTEMS; GENETIC PROGRAMS; LABORATORY MEASUREMENTS; MEDICAL INFORMATICS;

DIAGNOSIS;

ACID BASE BALANCE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; DISORDERS OF ACID BASE BALANCE;

ACID-BASE EQUILIBRIUM; ACID-BASE IMBALANCE; ARTIFICIAL INTELLIGENCE; NEURAL NETWORKS (COMPUTER);

EID: 84886919969     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (7)

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