Automated prozone effect detection in ferritin homogeneous immunoassays using neural network classifiers

Clinical Chemistry and Laboratory Medicine

Volumn 37, Issue 4, 1999, Pages 471-476

  Papik, Kornel ^a,c   Molnar, Bela ^a   Fedorcsak, Peter ^a   Schaefer, Rainer ^b   Lang, Fridl ^b   Sreter, Lydia ^a   Feher, Janos ^a   Tulassay, Zsolt ^a  

^a SEMMELWEIS UNIVERSITY OF MEDICINE   (Hungary)

^b F HOFFMANN LA ROCHE LTD   (Switzerland)

^c SOTE II Belklinika   (Hungary)

Author keywords

Ferritin; High dose hook effect; Neural networks; Prozone effect; Turbidimetry

Indexed keywords

FERRITIN;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATION; CHEMICAL REACTION KINETICS; CLINICAL ARTICLE; COST EFFECTIVENESS ANALYSIS; DIAGNOSTIC ACCURACY; FERRITIN BLOOD LEVEL; HUMAN; IMMUNOASSAY; PRIORITY JOURNAL; TURBIDIMETRY;

BLOOD CHEMICAL ANALYSIS; DOSE-RESPONSE RELATIONSHIP, DRUG; FERRITINS; HUMANS; IMMUNOASSAY; KINETICS; NEURAL NETWORKS (COMPUTER); TIME FACTORS;

EID: 0032951017     PISSN: 14346621     EISSN: None     Source Type: Journal    
DOI: 10.1515/CCLM.1999.076     Document Type: Article

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