Assessing the clinical uses of fuzzy detection results in the automated detection of CVC-related infections: A preliminary report

Studies in Health Technology and Informatics

Volumn 180, Issue , 2012, Pages 579-583

  De Bruin, Jeroen S ^a   Blacky, Alexander ^b   Adlassnig, Klaus Peter ^a,c  

^a MEDICAL UNIVERSITY OF VIENNA   (Austria)

^b UNIVERSITY OF VIENNA   (Austria)

^c Medexter Healthcare GmbH   (Austria)

Author keywords

Automated surveillance; CVC related infections; Fuzzy logic; Infection control; Infection prediction

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTER CIRCUITS; FUZZY SET THEORY;

AUTOMATED DETECTION; AUTOMATED SURVEILLANCE; CLINICAL DETECTION; CRITICALLY ILLS; CVC-RELATED INFECTIONS; FUZZY DETECTION; INFECTION CONTROL; TEMPORAL ASSOCIATION RULE MININGS;

FUZZY LOGIC;

ARTICLE; AUTOMATED PATTERN RECOGNITION; CATHETER INFECTION; CENTRAL VENOUS CATHETER; COMPUTER ASSISTED DIAGNOSIS; DECISION SUPPORT SYSTEM; EUROPE; FUZZY LOGIC; HEALTH SURVEY; HUMAN; METHODOLOGY; PILOT STUDY; REGISTER; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

CATHETER-RELATED INFECTIONS; CENTRAL VENOUS CATHETERS; DECISION SUPPORT SYSTEMS, CLINICAL; DIAGNOSIS, COMPUTER-ASSISTED; EUROPE; FUZZY LOGIC; HUMANS; PATTERN RECOGNITION, AUTOMATED; PILOT PROJECTS; POPULATION SURVEILLANCE; REGISTRIES; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84872535042     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: 10.3233/978-1-61499-101-4-579     Document Type: Conference Paper

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