A model-based approach to the analysis of patterns of length of stay in institutional long-term care [0.03%]
基于模型的机构长期护理住院时间模式分析方法
Haifeng Xie,Thierry J Chaussalet,Peter H Millard
Haifeng Xie
Understanding the pattern of length of stay in institutional long-term care has important practical implications in the management of long-term care. Furthermore, residents' attributes are believed to have significant effects on these patte...
Feature subset selection for improving the performance of false positive reduction in lung nodule CAD [0.03%]
用于改善肺结节CAD假阳性减少性能的特征子集选择
Lilla Böröczky,Luyin Zhao,K P Lee
Lilla Böröczky
We propose a feature subset selection method based on genetic algorithms to improve the performance of false positive reduction in lung nodule computer-aided detection (CAD). It is coupled with a classifier based on support vector machines....
Co-occurrence analysis for discovery of novel breast cancer pathology patterns [0.03%]
共现分析用于发现新型乳腺癌病理模式
Susan M Maskery,Yonghong Zhang,Rick M Jordan et al.
Susan M Maskery et al.
To discover novel patterns in pathology co-occurrence, we have developed algorithms to analyze and visualize pathology co-occurrence. With access to a database of pathology reports, collected under a single protocol and reviewed by a single...
Evan S McCreedy,Ruida Cheng,Paul F Hemler et al.
Evan S McCreedy et al.
The radio frequency ablation segmentation tool (RFAST) is a software application developed using the National Institutes of Health's medical image processing analysis and visualization (MIPAV) API for the specific purpose of assisting physi...
MR imaging and osteoporosis: fractal lacunarity analysis of trabecular bone [0.03%]
磁共振成像与骨质疏松症：松质骨的分形空洞分析
Annamaria Zaia,Roberta Eleonori,Pierluigi Maponi et al.
Annamaria Zaia et al.
We develop a method of magnetic resonance (MR) image analysis able to provide parameter(s) sensitive to bone microarchitecture changes in aging, and to osteoporosis onset and progression. The method has been built taking into account fracta...
Diagnosing old MI by searching for a linear boundary in the space of principal components [0.03%]
应用主成分线性边界诊断陈旧性心肌梗死
Mark P Donnelly,Chris D Nugent,Dewar D Finlay et al.
Mark P Donnelly et al.
Body surface potential mapping (BSPM) is a technique employing multiple electrodes to capture, via noninvasive means, an indication of the heart's condition. An inherent problem with this technique is the resulting high-dimensional recordin...
Combining algorithms in automatic detection of QRS complexes in ECG signals [0.03%]
基于ECG信号的QRS波检测算法融合方法研究
Carsten Meyer,José Fernández Gavela,Matthew Harris
Carsten Meyer
QRS complex and specifically R-Peak detection is the crucial first step in every automatic electrocardiogram analysis. Much work has been carried out in this field, using various methods ranging from filtering and threshold methods, through...
Combining wavelet analysis and Bayesian networks for the classification of auditory brainstem response [0.03%]
结合小波分析和贝叶斯网络分类听觉脑干反应信号
Rui Zhang,Gerry McAllister,Bryan Scotney et al.
Rui Zhang et al.
The auditory brainstem response (ABR) has become a routine clinical tool for hearing and neurological assessment. In order to pick out the ABR from the background EEG activity that obscures it, stimulus-synchronized averaging of many repeat...
EEG transient event detection and classification using association rules [0.03%]
基于关联规则的脑电图瞬变事件检测与分类
Themis P Exarchos,Alexandros T Tzallas,Dimitrios I Fotiadis et al.
Themis P Exarchos et al.
In this paper, a methodology for the automated detection and classification of transient events in electroencephalographic (EEG) recordings is presented. It is based on association rule mining and classifies transient events into four categ...
Mining statistically significant associations for exploratory analysis of human sleep data [0.03%]
用于人类睡眠数据探索性分析的统计显著关联挖掘
Parameshvyas Laxminarayan,Sergio A Alvarez,Carolina Ruiz et al.
Parameshvyas Laxminarayan et al.
We introduce a specialized association rule mining technique that can extract patterns from complex sleep data comprising polysomnographic recordings, clinical summaries, and sleep questionnaire responses. The rules mined can describe assoc...