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JMS
2010
65views more  JMS 2010»
13 years 6 months ago
A Tree-Based Decision Model to Support Prediction of the Severity of Asthma Exacerbations in Children
This paper describes the development of a tree-based decision model to predict the severity of pediatric asthma exacerbations in the emergency department (ED) at two hours followi...
Ken Farion, Wojtek Michalowski, Szymon Wilk, Dympn...
ICONIP
2008
13 years 9 months ago
An Evaluation of Machine Learning-Based Methods for Detection of Phishing Sites
In this paper, we present the performance of machine learning-based methods for detection of phishing sites. We employ 9 machine learning techniques including AdaBoost, Bagging, S...
Daisuke Miyamoto, Hiroaki Hazeyama, Youki Kadobaya...
BMCBI
2008
126views more  BMCBI 2008»
13 years 7 months ago
FCI: an R-based algorithm for evaluating uncertainty of absolute real-time PCR quantification
Background: FCI is an R code for analyzing data from real-time PCR experiments. This algorithm estimates standard curve features as well as nucleic acid concentrations and confide...
Paolo Verderio, Sara Pizzamiglio, Fabio Gallo, Sim...
BMCBI
2007
99views more  BMCBI 2007»
13 years 7 months ago
Stratification bias in low signal microarray studies
Background: When analysing microarray and other small sample size biological datasets, care is needed to avoid various biases. We analyse a form of bias, stratification bias, that...
Brian J. Parker, Simon Günter, Justin Bedo
MAMMO
2010
Springer
13 years 6 months ago
Classifying Breast Masses in Volumetric Whole Breast Ultrasound Data: A 2.5-Dimensional Approach
The aim of this paper is to investigate a 2.5-dimensional approach in classifying masses as benign or malignant in volumetric anisotropic voxel whole breast ultrasound data. In thi...
Gobert N. Lee, Toshiaki Okada, Daisuke Fukuoka, Ch...