Mining three-dimensional anthropometric body surface scanning data for hypertension detection

IEEE Transactions on Information Technology in Biomedicine

Volumn 11, Issue 3, 2007, Pages 264-273

  Chiu, Chaochang ^a   Hsu, Kuang Hung ^b   Hsu, Pei Lun ^c   Hsu, Chi I ^d   Lee, Po Chi ^a,e   Chiou, Wen Ko ^e   Liu, Thu Hua ^e,f   Chuang, Yi Chou ^b   Hwang, Chorng Jer ^b  

^a YUAN ZE UNIVERSITY   (Taiwan)

^b CHANG GUNG UNIVERSITY   (Taiwan)

^c CHING YUN UNIVERSITY   (Taiwan)

^d KAINAN UNIVERSITY   (Taiwan)

^e CHANG GUNG UNIVERSITY   (Taiwan)

^f MING CHI UNIVERSITY OF TECHNOLOGY   (Taiwan)

Author keywords

Anthropometric data; Association rule; Classification trees; Genetic algorithms (GAs); Hypertension

Indexed keywords

ANTHROPOMETRY; ASSOCIATION RULES; DATA MINING; DATA STRUCTURES; DECISION SUPPORT SYSTEMS; GENETIC ALGORITHMS; TREES (MATHEMATICS);

ANTHROPOMETRIC BODY SURFACE SCANNING DATA; HYPERTENSION DETECTION;

BIOMEDICAL ENGINEERING;

ALGORITHM; ANTHROPOMETRY; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; HUMAN; HYPERTENSION; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING; WHOLE BODY IMAGING;

ALGORITHMS; ANTHROPOMETRY; ARTIFICIAL INTELLIGENCE; HUMANS; HYPERTENSION; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; INFORMATION STORAGE AND RETRIEVAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; WHOLE BODY IMAGING;

EID: 34248592768     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2006.884362     Document Type: Article

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