title: Mining three-dimensional anthropometric body surface scanning data for hypertension detection.
abstract: Hypertension is a major disease, being one of the top ten causes of death in Taiwan. The exploration of three-dimensional (3-D) anthropometry scanning data along with other existing subject medical profiles using data mining techniques becomes an important research issue for medical decision support. This research attempts to construct a prediction model for hypertension using anthropometric body surface scanning data. This research adopts classification trees to reveal the relationship between a subject's 3-D scanning data and hypertension disease using the hybrid of the association rule algorithm (ARA) and genetic algorithms (GAs) approach. The ARA is adopted to obtain useful clues based on which the GA is able to proceed its searching tasks in a more efficient way. The proposed approach was experimented and compared with a regular genetic algorithm in predicting a subject's hypertension disease. Better computational efficiency and more accurate prediction results from the proposed approach are demonstrated.
authors.affiliation: Department of Information Management, Yuan Ze University, Chungli 320, Taiwan, ROC. imchiu@saturn.yzu.edu.tw
authors.forename: Chaochang
authors.initials: C
authors.lastname: Chiu
authors.forename: Kuang-Hung
authors.initials: KH
authors.lastname: Hsu
authors.forename: Pei-Lun
authors.initials: PL
authors.lastname: Hsu
authors.forename: Chi-I
authors.initials: CI
authors.lastname: Hsu
authors.forename: Po-Chi
authors.initials: PC
authors.lastname: Lee
authors.forename: Wen-Ko
authors.initials: WK
authors.lastname: Chiou
authors.forename: Thu-Hua
authors.initials: TH
authors.lastname: Liu
authors.forename: Yi-Chou
authors.initials: YC
authors.lastname: Chuang
authors.forename: Chorng-Jer
authors.initials: CJ
authors.lastname: Hwang
mesh_terms: D000465:Algorithms; D000886:Anthropometry / Q000379:methods*; D001185:Artificial Intelligence; D006801:Humans; D006973:Hypertension / Q000175:diagnosis*; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D051598:Whole Body Imaging / Q000379:methods*