title: An efficient sampling algorithm for uncertain abnormal data detection in biomedical image processing and disease prediction.
abstract: In this paper, we propose a computer information processing algorithm that can be used for biomedical image processing and disease prediction. A biomedical image is considered a data object in a multi-dimensional space. Each dimension is a feature that can be used for disease diagnosis. We introduce a new concept of the top (k1,k2) outlier. It can be used to detect abnormal data objects in the multi-dimensional space. This technique focuses on uncertain space, where each data object has several possible instances with distinct probabilities. We design an efficient sampling algorithm for the top (k1,k2) outlier in uncertain space. Some improvement techniques are used for acceleration. Experiments show our methods' high accuracy and high efficiency.
authors.affiliation: School of computer, National University of Defense Technology. 410073, Changsha, Hunan, China.
authors.forename: Fei
authors.initials: F
authors.lastname: Liu
authors.affiliation: School of Biomedical Engineering, Fourth Military Medical University. 710032, Xian, Shaanxi, China.
authors.forename: Xi
authors.initials: X
authors.lastname: Zhang
authors.affiliation: School of computer, National University of Defense Technology. 410073, Changsha, Hunan, China.
authors.forename: Yan
authors.initials: Y
authors.lastname: Jia
mesh_terms: D000465:Algorithms; D003627:Data Interpretation, Statistical; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D018401:Sample Size; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D059629:Signal-To-Noise Ratio
keywords: Biomedical image; abnormal detection; computer information processing; disease diagnosis; outlier; uncertain