Software
Clinical decision modeling system
-
* Corresponding author: James Lyons-Weiler jfl2@pitt.edu
- † Equal contributors
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
BMC Medical Informatics and Decision Making 2007, 7:23 doi:10.1186/1472-6947-7-23
Published: 13 August 2007Additional 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
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