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Table of Contents
Vol. 10, No. 1-4, 2012
Issue release date: April 2012
Section title: Paper
Open Access Gateway
Neurodegenerative Dis 2012;10:149–152
(DOI:10.1159/000332600)

Software Tool for Improved Prediction of Alzheimer’s Disease

Soininen H.a · Mattila J.b · Koikkalainen J.b · van Gils M.b · Hviid Simonsen A.c · Waldemar G.c · Rueckert D.d · Thurfjell L.e · Lötjönen J.b · for the Alzheimer’s Disease Neuroimaging Initiative
aUniversity of Eastern Finland, Kuopio University Hospital, Kuopio, and bVTT Technical Research Centre of Finland, Tampere, Finland; cDepartment of Neurology, Rigshospitalet, Copenhagen, Denmark; dImperial College London, London, UK; eGE Healthcare, Uppsala, Sweden
email Corresponding Author

Prof. Hilkka Soininen

Department of Neurology

University of Eastern Finland

PO Box 1627, FI–70211 Kuopio (Finland)

Tel. +358 17 173 012, E-Mail hilkka.soininen@uef.fi


References

  1. Cowan N: The magical number 4 in short-term memory: a reconsideration of mental storage capacity. Behav Brain Sci 2001;24:87–114.
  2. Bergus GR, Chapman GB, Gjerde C, Elstein AS: Clinical reasoning about new symptoms in the face of pre-existing disease: sources of error and order effects. Fam Med 1995;27:314–320.
  3. Speier C, Valacich JS, Vessey I: The influence of task interruption on individual decision making: an information overload perspective. Decision Sci 1999;30:337–360.
    External Resources
  4. Musen MA, Sharar Y, Shortliffe EH: Clinical Decision-Support Systems. Biomedical Informatics. New York, Springer, 2006, pp 698–736.
  5. Mattila J, Koikkalainen J, Virkki A, Simonsen A, van Gils M, Waldemar G, Soininen H, Lötjönen J: A disease state fingerprint for evaluation of Alzheimer’s diseases. J Alzheimers Dis, in press.