Classification of haemoglobin typing chromatograms by neural networks and decision trees for thalassaemia screening

Chemometrics and Intelligent Laboratory Systems

Volumn 99, Issue 2, 2009, Pages 101-110

  Piroonratana, Theera ^a   Wongseree, Waranyu ^a   Assawamakin, Anunchai ^b   Paulkhaolarn, Nuttawut ^b   Kanjanakorn, Chompunut ^b   Sirikong, Monchan ^b   Thongnoppakhun, Wanna ^b   Limwongse, Chanin ^b   Chaiyaratana, Nachol ^a,b  

^a KING MONGKUT'S UNIVERSITY OF TECHNOLOGY NORTH BANGKOK   (Thailand)

^b MAHIDOL UNIVERSITY   (Thailand)

Author keywords

C4.5; Haemoglobin typing; Neural network; Random forests; Thalassaemia

Indexed keywords

HEMOGLOBIN;

ADULT; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLINICAL TRIAL; CONTROLLED STUDY; DECISION TREE; DIAGNOSTIC ACCURACY; DISEASE CLASSIFICATION; HEMOGLOBIN BLOOD LEVEL; HEMOGLOBIN DETERMINATION; HIGH PERFORMANCE LIQUID CHROMATOGRAPHY; HUMAN; INTERMETHOD COMPARISON; PERCEPTRON; PRIORITY JOURNAL; RANDOM FOREST; SCREENING TEST; SENSITIVITY AND SPECIFICITY; THALASSEMIA;

EID: 70350344267     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chemolab.2009.07.014     Document Type: Article

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