Search Results for "clinical trials"

The OpenVCT project is designed to provide a common platform for performing Virtual Clinical Trials of medical imaging. OpenVCT provides tools for simulation of patient accrual and reader studies of medical imaging devices, simulating by simulating cohorts of patients and readers. OpenVCT uses common data standards, such as DICOM, to ensure inter-compatibility.

The new version of MinimPy (MinimPy2) is available for download at: https://osdn.net/dl/minimpy2/MinimPy2.zip Please send your feedback about this new version to mahmood.saghaei@gmail.com (include MinimPy2 in the subject) ============================================================ MinimPy is a desktop application program for sequential allocation of subjects to treatment groups in clinical trials by using the method of minimization. Comprehensive reference help is available at http://minimpy.sourceforge.net MinimPy has been fully described in the following article: Saghaei, M. and Saghaei, S. (2011) Implementation of an open-source customizable minimization program for allocation of patients to parallel groups in clinical trials. ...

This is a Python program based on the NegEx algorithm that detects the polarity of the clinical evidence in clinical random trials. If you use this code please cite this paper: P. Davis-Desmond and Diego Mollá. Detection of Evidence in Clinical Research Papers (2012). Australasian Workshop On Health Informatics and Knowledge Management (HIKM 2012), Melbourne, Australia. http://www.ics.mq.edu.au/~diego/publications/hikm12.pdf