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Clinical decision modeling system

Haiwen Shi1 and James Lyons-Weiler123456*

  • * Corresponding author: James Lyons-Weiler jfl2@pitt.edu

  • † Equal contributors

Author Affiliations

1 Bioinformatics Analysis Core, Genomics and Proteomics Core Laboratories, 3343 Forbes Avenue, Pittsburgh, PA 15260 USA

2 Department of Biomedical Informatics, University of Pittsburgh Medical School and University of Pittsburgh Graduate School of Public Health, Parkvale Building M-183, 200 Meyran Avenue, Pittsburgh, PA 15260 USA

3 Department of Pathology, University of Pittsburgh, School of Medicine, S-417 BST, 200 Lothrop Street, Pittsburgh, PA 15261 USA

4 Clinical Genomics Facility and Clinical Proteomics Facility, University of Pittsburgh Cancer Institute, Hillman Cancer Center, UPCI Research Pavilion, Suite 2.26d, 5177 Centre Ave., Pittsburgh, PA 15213-1863, USA

5 Interdisciplinary Biomedical Graduate Program, University of Pittsburgh, School of Medicine Graduate Office, 524 Scaife Hall, Pittsburgh, PA 15261-0001 USA

6 University of Pittsburgh Cancer Institute, 5150 Centre Ave, Pittsburgh, PA 15232, USA

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BMC Medical Informatics and Decision Making 2007, 7:23  doi:10.1186/1472-6947-7-23

Published: 13 August 2007

Additional files

Additional file 1:

Appendices. This file includes the Mathematical Definitions of some terms used in the paper and a detailed Random Tree Search Algorithm Description.

Format: DOC Size: 37KB Download file

This file can be viewed with: Microsoft Word Viewer

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Additional file 2:

Software. This compressed file includes the software and other necessary files. The software is an executable jar file, 'cdms.jar'. To run it, the user needs an input file. 'input_parameters_breast.txt' is the input file used for the Use case #1 in the Results section. 'prevalence_breast.txt' includes the prevalence value for breast cancer. 'README.txt' is a text file that includes instructions to run the software.

Format: ZIP Size: 78KB Download file

Open Data