Information Technology Reference
In-Depth Information
Kao, A., & Poteet, S. R. (2006).
Natural Language Processing and Text Mining
. Berlin: Springer.
Lodise, T., McKinnon, P. S., & Rybak, M. (2003). Prediction model to identify patients with Staphylo-
coccus aureus bacteremia at risk for methicillin resistance.
Infection Control & Epidemiology
,
24
(9),
655-661. doi:10.1086/502269
Loveday, H., Pellowe, C., Jones, S., & Pratt, R. (2006). A systematic review of the evidence for inter-
ventions for the prevention and control of methicillin-resistant Staphylococcus aureus (1996-2004):
report to the Joint MRSA Working Party.
The Journal of Hospital Infection
,
63
(Suppl 1), S45-S70.
doi:10.1016/j.jhin.2006.01.002
Malde, D., Hardern, L., & Welch, M. (2006). Is it possible to predict outcome in MRSA positive patients
undergoing arterial reconstruction.
International Angiology
,
25
(1), 78-83.
Masaki, H., Nagatake, T.,Asoh, N., Yoshimine, H., Watanbe, K., & Watanabe, H. (2006). Significant reduc-
tion of nosocomial pneumonia after introduction of disinfection of upper airways using providone-iodone
in geriatric wards.
Dermatology (Basel, Switzerland)
,
212
(Suppl 1), 98-102. doi:10.1159/000089206
McBryde, E., Pettit, A., & McElwain, D. (2007). A stochastic mathematical model of methicillin resistant
Staphylococcus aureus transmission in an intensive care unit: predicting the impact of interventions.
Journal of Theoretical Biology
,
245
(3), 470-481.doi:10.1016/j.jtbi.2006.11.008
Pear, R. (2007, August 19, 2007). Medicare Says It Won't Cover Hospital Errors.
New York Times
.
Roghmann, M. (2000). Predicting methicillin resistance and the effect of inadequate empiric therapy
on survival in patients with Staphylococcus aureus bacteremia.
Archives of Internal Medicine
,
160
(7),
1001-1004. doi:10.1001/archinte.160.7.1001
Thomas, S., Cantrill, S., Waghorn, D., & McIntyre, A. (2007). The role of screening and antibiotic pro-
phylaxis in the prevention of percutaneous gastrostomy site infection caused by methicillin-resistant
Staphylococcus aureus.
Alimentary Pharmacology & Therapeutics
,
25
(5), 593-597.
Weiss, S., Indurkhya, N., Zhang, T., & Damerau, F. (2004).
Text Mining: Predictive Methods for Analyz-
ing Unstructured Information
. Berlin: Springer.
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