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

引用

页码：57 / 72

页数：16

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