Application of data mining for examining polypharmacy and adverse effects in cardiology patients
Tóm tắt
This article comments upon the use of data mining tools to examine clinical data. Many cardiovascular patients have co-morbid diseases that put them at risk for polypharmacy, or severe adverse reactions from the interactions of multiple medications. Clinical trials typically use too few patients with stringent inclusion/exclusion criteria that prevent an examination of the issue of polypharmacy. However, clinical data collected in the course of patient treatment can be used in conjunction with data mining to find meaningful results.
Tài liệu tham khảo
Fineberg, S.E. (1999). The treatment of hypertension and dyslipidemia in diabetes mellitus. Primary Care 26(4): 951–964.
Parmley, W. (2001). How many medicines do patients with heart failure need?. Circulation 103(12):1611.
Cohn, J.N., Goldstein, S.O., Greenberg B.H., Lorell B.H., Bourge, R.C., Jaski, B.E., et al. (1998). A dose-dependent increase in mortality with vesnarinone among patients with severe heart failure. N. Engl. J. Med. 339(25):1810–1816.
French, A.R., Mason, T., Nelson, A.M., O’Fallon, W.M., and Gabriel, S.E. (2001). Increased mortality in adults with a history of juvenile rheumatoid arthritis: a population-based study. Arthritis Rheum. 44(3):523–527.
Strain, J.J., Caliendo, G., Alexis, J.D., Lowe, R.S., Karim, A., and Loigman, M. (1999). Cardiac drug and psychotropic drug interactions: significance and recommendations. Gen. Hosp. Psychiatry 21(6):408–429.
Lindquist, M., Stahl, M., Bate, A., Edwards, I.R., and Meyboom, R.H. (2000). A retrospective evaluation of a data mining approach to aid finding new adverse drug reaction signals in the WHO international database. Drug Safety 23(6):533–542.
Willenheimer, R. and Swedberg, K. (2000). Dressing heart-failure patients on Savile Row-tailored treatment. Lancet 355:2012–2013.
Holmes, J.H., Durbin, D.R., and Winston, F.K. (2000). Discovery of predictive models in an injury surveillance database: an application of data mining in clinical research. Proceedings of the AMIA Annual Symposium, pp. 359–363.
Downs, S.M. and Wallace, M.Y. (2000). Mining association rules from a pediatric primary care decision support system. Proceedings of the AMIA Annual Symposium 2000, pp. 200–204.
Bate A, Lindquist, M., Edwards, I.R., Olsson S., Orre, R., Lasner, A., et al. (1998). A Bayesian neural network method for adverse drug reaction signal generation. Eur. J. Clin. Pharmacol. 54:315–321.