Temporal Event Mining of Linked Medical Claims Data (2008)
Graham Williams, Chris Kelman, Rohan Baxter, Lifang Gu, Simon Hawkins, Hongxing He, ...
Abstract. For universal health care systems such as that found in Australia, the health care budget constitutes one of the largest items for government expenditure. Identifying even small pockets of...
Temporal Sequence Associations for Rare Events 1 (2008)
Jie Chen, Hongxing He, Graham Williams, Huidong Jin
Abstract. In many real world applications, systematic analysis of rare events, such as credit card frauds and adverse drug reactions, is very important. Their low occurrence rate in large databases...
Frequency-Based Temporal Pattern Mining in Health Data (2008)
Jie Chen, Huidong Jin, Hongxing He, Christine M. O’keefe, Ross Sparks, Graham Williams, ...
The low occurrence rate of adverse drug reactions makes it difficult to identify the risk factors from straightforward application of frequent pattern discovery in large databases. In this paper, we...
Identifying Risk Groups Associated with Colorectal Cancer (2008)
Jie Chen, Hongxing He, Huidong Jin, Damien Mcaullay
Abstract. In this paper, we explore data mining techniques for the task of identifying and describing risk groups for colorectal cancer (CRC) from population based administrative health data....
Automatic feature selection for classification of health data (2008)
Hongxing He, Huidong Jin, Jie Chen
Abstract. For classification of health data, we propose in this paper a fast and accurate feature selection method, FIEBIT (Feature Inclusion and Exclusion Based on Information Theory). FIEBIT...
A Delivery Framework for Health Data Mining and Analytics (2008)
Damien Mcaullay, Graham Williams, Jie Chen, Huidong Jin, Hongxing He, Ross Sparks, ...
The i Health Explorer tool, developed by CSIRO and DoHA, delivers web services type data mining and analytic facilities over a web interface, providing desktop access to sophisticated analyses over...
Mining unexpected temporal associations: Applications in detecting adverse drug reactions (2008)
Jin, Huidong, Chen, Jie, He, Hongxing, Williams, G. J., Kelman, Chris, O'Keefe, Christine Margaret
Copyright © 2008 IEEE
Mining unexpected temporal associations: Applications in detecting adverse drug reactions (2008)
Jin, Huidong, Chen, Jie, He, Hongxing, Williams, G. J., Kelman, Chris, O'Keefe, Christine Margaret
Copyright © 2008 IEEE
Temporal Event Mining of Linked Medical Claims Data (2007)
Graham Williams, Chris Kelman, Rohan Baxter, Lifang Gu, Simon Hawkins, Hongxing He, ...
For universal health care systems such as that found in Australia, the health care budget constitutes one of the largest items for government expenditure. Identifying even small pockets of...
Commercial-in-Confidence CSIRO Mathematical and Information Sciences (2007)
Patient Characteristics Associated, Simon Hawkins, Hongxing He, Lifang Gu, Deanne Vickers
Background The data for this study comes from the Queensland Linked Data Set [7] for the 1996/1997 financial year. The data set contains de-identified individual-level linked data from hospital...
Analysis of breast feeding data using data mining methods (2006)
He, Hongxing, Jin, Huidong, Chen, Jie, McAullay, Damien, Li, Jiuyong, Fallon, Anthony Bruce
The purpose of this study is to demonstrate the benefit of using common data mining techniques on survey data where statistical analysis is routinely applied. The statistical survey is commonly used...
Analysis of breast feeding data using data mining methods (2006)
He, Hongxing, Jin, Huidong, Chen, Jie, McAullay, Damien, Li, Jiuyong, Fallon, Anthony Bruce, ...
The purpose of this study is to demonstrate the benefit of using common data mining techniques on survey data where statistical analysis is routinely applied. The statistical survey is commonly used...
Analysis of breast feeding data using data mining methods (2006)
He, Hongxing, Jin, Huidong, Chen, Jie, McAullay, Damien, Li, Jiuyong, Fallon, Tony
The purpose of this study is to demonstrate the benefit of using common data mining techniques on survey data where statistical analysis is routinely applied. The statistical survey is commonly used...
Analysis of breast feeding data using data mining methods (2006)
He, Hongxing, Jin, Huidong, Chen, Jie, McAullay, Damien, Li, Jiuyong, Fallon, Anthony Bruce, ...
The purpose of this study is to demonstrate the benefit of using common data mining techniques on survey data where statistical analysis is routinely applied. The statistical survey is commonly used...
Frequency-based Rare Events Mining in Administrative Health Data (2006)
Jie Chen; CSIRO Mathematical And Information Sciences, Canberra, Huidong Jin; CSIRO Mathematical And Information Sciences, Canberra, Hongxing He; CSIRO Mathematical And Information Sciences, Canberra, Christine M O'Keefe; CSIRO Mathematical And Information Sciences, Canberra, Ross Sparks; CSIRO Mathematical And Information Sciences, Canberra, ...
The low occurrence rate of adverse drug reactions makes it difficult to identify risk factors from a straightforward application of association pattern discovery in large databases. In this paper, we...
Analysis of breast feeding data using data mining methods (2006)
He, Hongxing, Jin, Huidong, Chen, Jie, McAullay, Damien, Li, Jiuyong, Fallon, Anthony Bruce
The purpose of this study is to demonstrate the benefit of using common data mining techniques on survey data where statistical analysis is routinely applied. The statistical survey is commonly used...
Analysis of breast feeding data using data mining methods (2006)
He, Hongxing, Jin, Huidong, Chen, Jie, McAullay, Damien, Li, Jiuyong, Fallon, Anthony Bruce
The purpose of this study is to demonstrate the benefit of using common data mining techniques on survey data where statistical analysis is routinely applied. The statistical survey is commonly used...
Representing Association Classification Rules Mined from Health Data (2005)
Jie Chen, Hongxing He, Jiuyong Li, Huidong Jin, Damien Mcaullay, Graham Williams, ...
Abstract. An association classification algorithm has been developed to explore adverse drug reactions in a large medical transaction dataset with unbalanced classes. Rules discovered can be used to...
Representing Association Classification Rules Mined from Health Data (2005)
Jie Chen, Hongxing He, Jiuyong Li, Huidong Jin, Graham Williams, Ross Sparks, ...
Abstract. An association classification algorithm has been used to explore adverse drug reactions in a large medical transaction data set with unbalanced classes. Rules discovered can be used to...
Association rule discovery with unbalanced class (2003)
Lifang Gu, Jiuyong Li, Hongxing He, Graham Williams, Simon Hawkins, Chris Kelman
There are many methods for finding association rules in very large data. However it is well known that most general association rule discovery methods find too many rules, which include a lot of...
Outlier detection using replicator neural networks (2002)
Simon Hawkins, Hongxing He, Graham Williams, Rohan Baxter
Abstract. We consider the problem of finding outliers in large multivariate databases. Outlier detection can be applied during the data cleansing process of data mining to identify problems with the...
comparative study of rnn for outlier detection in data mining (2002)
Graham Williams, Rohan Baxter, Hongxing He, Simon Hawkins, Lifang Gu
We have proposed replicator neural networks (RNNs) as an outlier detecting algorithm [15]. Here we compare RNN for outlier detection with three other methods using both publicly available statistical...
A Comparative Study of RNN for Outlier Detection in Data Mining (2002)
Graham Williams, Rohan Baxter, Hongxing He, Simon Hawkins, Lifang Gu
We have proposed replicator neural networks (RNNs) for outlier detection [8]. Here we compare RNN for outlier detection with three other methods using both publicly available statistical datasets...
Graham Williams Rohan, Graham Williams, Rohan Baxter, Chris Kelman, Chris Rainsford, Hongxing He, ...
Australia has extensive administrative health data collected by Commonwealth and state agencies. The value of the health data is how quickly and e#ectively the data can be converted into useful...
H.: Feature Selection for Temporal Health Records (2001)
Rohan A. Baxter, Graham J. Williams, Hongxing He
Abstract. In this paper we consider three alternative feature vector representations of patient health records. The longitudinal (temporal), irregular character of patient episode history, an...
Computer generated vitreous silica networks and elastic properties of glasses /--Hongxing He. (1985)
Thesis (Ph. D.)--Michigan State University. Dept. of Physics and Astronomy, 1985.
Thesis (Ph. D.)--Michigan State University. Dept. of Physics and Astronomy, 1985.