An Exploratory Clustering Study of Rare Adverse Events in Drug Eluting Stents Patients

• Autorzy: Bychowiec B. , Piskorski J. , Stanislawska K. , Dziarmaga M. , Minczykowski A. , Wykretowicz A. , Wysocki H.
• Języki publikacji: EN

Abstrakty

EN

We present an exploratory study of a group of patients (150) who have undergone precutaneous transluminal coronary angioplasty with the use of drug eluting stents. We concentrate on the most often studied rare adverse event, i.e. death, as well as the still unexplored cancer variable. The aim of the study is to identify possible statistical hypotheses for a subsequent, large sample study. The results of this study may lead to a change in the therapy administered after precutaneous coronary interventions which will reduce the mortality rate. To achieve this, we use clustering techniques such as hierarchical cluster analysis, principal components methods and interactive brushing. We show that death cases cluster in the space defined by the available variables, while the cancer cases do not seem to cluster.

Słowa kluczowe

EN

data mining; medical visualization; PTCA; computationally intensive statistical analysis

• Wydawca: Institute of Bioorganic Chemistry Scientific Publishers OWN, Polish Academy of Sciences
• Czasopismo: Computational Methods in Science and Technology
• Rocznik: 2010
• Tom: Vol. 16, No. 1
• Strony: 5--11
• Opis fizyczny: Bibliogr. 16 poz., tab., rys.

Twórcy

autor

Bychowiec B.

autor

Piskorski J.

autor

Stanislawska K.

autor

Dziarmaga M.

autor

Minczykowski A.

autor

Wykretowicz A.

autor

Wysocki H.

• Department of Cardiology – Intensive Therapy and Internal Diseases, Poznań University of Medical Sciences ul. Przybyszewskiego 49, Poznań, Poland,

Bibliografia

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