Paper Info
Title
Personalized Modelling based Medical Decision Support System over Gene Expression Data: A New Framework Proposed.
Abstract
In this paper novel theoretical medical decision support system based on a personalized modeling gene selection method is presented. Identifying a compact set of genes from gene expression data is a critical step in bioinformatics research. Personalized modeling is a recently introduced technique for constructing clinical decision support systems. In this work we have provided a comparative study using the proposed Personalized Modeling based Gene Selection method on two benchmark microarray datasets (Colon cancer and Central Nervous System cancer data) and on a macroarray dataset collected during a GRANT clinical project. The experimental results show that our method is able to identify a small number of informative genes which can lead to reproducible and acceptable predictive performance without expensive computational cost. These genes are of importance for specific groups of people for cancer and other diseases diagnosis and prognosis.
Year
DOI
Venue
2011
10.3233/978-1-60750-972-1-186
Frontiers in Artificial Intelligence and Applications
Keywords
Field
DocType
personalised modelling,gene selection,decision support system
Data mining,Computer science,Decision support system,Artificial intelligence,Machine learning
Conference
Volume
ISSN
Citations 
234
0922-6389
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Maurizio Fiasché1499.23
Maria Cuzzola2194.12
Giuseppe Messina300.34
Giuseppe Irrera451.61
Francesco Carlo Morabito533954.83