/dxster_nacc

A newer version of dxster that uses CDR sum of boxes and NACC inputs

Primary LanguagePythonApache License 2.0Apache-2.0

dxster_nacc

A newer version of dxster that uses CDR sum of boxes and NACC inputs written and tested for python 2.7x

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dxster

DxSter, the Alzheimer's Algorithmic Diagnostic Helper.

The DxSter module takes a Clincal diagnosis (PhyDx) and the Neurophyscological diagnosis (NpDx) to output the algorithmic diagnosis (AlgDx). The idea is that the AlgDx saves time to formulate a diagnosis of an ALZ patient but reducing the need for consensus conferences.

#Support This work has been supported by the Florida Department of Health's Ed and Ethel Moore Alzheimer's Disease Research Program grant number 66315-UF, the National Institute of Aging, and the 1Florida Alzheimer's Research Center grant number P50AG047266.

#Cite Us Please reference Dr. Shanna L. Burke, PI (sburke(at)fiu.edu) and the Clinical and Translational Science - Informatics and Technology group (CTS-IT) in any research report, journal, or publication that requires citation of authors' work. Recognition of CTS-IT resources you used to perform research is important for acquiring funding for the next generation of informatics services and our research and development activities in software development and information science.

At minimum, a citation should include: Clinical and Translational Science Informatics and Technology group at the University of Florida

Our suggested acknowledgement is (select one or more items within the braces, as appropriate): The authors acknowledge Dr. Shanna L. Burke, (sburke(at)fiu.edu) and the Clinical and Translational Science Informatics and Technology group at the University of Florida for providing {Python software library, code, examples, calculator} resources that have contributed to the research results reported within this paper. URL: http://www.ncbi.nlm.nih.gov/pubmed/20306566

#Literature cited. Duara, R., Loewenstein, D. A., Greig, M., Acevedo, A., Potter, E., Appel, J., … Potter, H. (2010). Reliability and Validity of an Algorithm for the Diagnosis of Normal Cognition, MCI and Dementia: Implications for Multi-Center Research Studies. The American Journal of Geriatric Psychiatry : Official Journal of the American Association for Geriatric Psychiatry, 18(4), 363–370.http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2844658/

#Special Thanks to: Style Guide for Module project structure: http://docs.python-guide.org/en/latest/writing/structure/ https://github.com/kennethreitz/samplemod http://www.kennethreitz.org/essays/repository-structure-and-python

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