PRINCIPAL COMPONENT ANALYSIS AND CLASSIFICATION WITH APPLICATIONS IN MEDICINE

被引：0
|
作者：
Sinescu, Ionel [1 ]
Chibelean, Calin [2 ]
Surcel, Cristian [2 ]
Stefanescu, Maria Viorica
Ferrara, Massimiliano [3 ]
机构：
[1] Carol Davila Univ Med & Pharm, Ctr Urol Surg Dialysis & Renal Transplantat, Fundeni Clin Inst, Bucharest, Romania
[2] Bucharest Acad Econ Studies, Dept Math, Fundeni Clin Inst, Ctr Urol Surg Dialysis & Renal Transplantat, Bucharest, Romania
[3] Univ Reggio Calabria, Calabria, Italy
来源：
ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH | 2009年 / 43卷 / 04期
关键词：
classification; urology; urinary incontinence;
D O I：
暂无
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
PCA and a classification algorithm are summarized. These are then used for processing data collected by GfK Romania on urinary incontinence. For urology, the study conducted by GfK Romania is a premiere, it is a beginning helping doctors to familiarize with the condition of patients in Romania. The study may also be useful to a drug company for an optimal distribution upon regions of products needed for treatment. Results obtained by GFK Romania were processed with data analysis techniques and presented further
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页码：57 / 72
页数：16
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