DocumentCode :
2853311
Title :
Notice of Retraction
Statistical Analysis and Data Mining Research on Endocrine Hormone of Patients with Mammary Gland Disease
Author :
Wang Yuan ; Ji Guoli ; Chen Chengqi
Author_Institution :
Sch. of Bus. Adm., JiMei Univ., Xiamen, China
fYear :
2009
fDate :
19-20 Dec. 2009
Firstpage :
1
Lastpage :
4
Abstract :
Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE\´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

This thesis founds upon the Xiamen Social Development Plan Project "Modeling Analysis and Clinic Application of Pituitary Hormone "(NO: 3502Z20044003), bases on standardization of mass endocrine hormone clinic basic data, adopts frequent-used statistical analysis method, statistical analysis software(SPSS)and data mining tools(MATLAB), stresses analyzing statistic rule of clinic data of HPO axis, constructs basic data platform of endocrine hormone, studies statistic rule of patients\´ endocrine hormone, helps to study physiological and disease reason of endocrine system, clinical therapy, teaching, research, application and extension, is of research significance.
Keywords :
data mining; diseases; mathematics computing; medical computing; statistical analysis; MATLAB; Modeling Analysis and Clinic Application of Pituitary Hormone; SPSS; Xiamen Social Development Plan Project; data mining; endocrine hormone; mammary gland disease; statistical analysis; Application software; Biochemistry; Data mining; Diseases; Endocrine system; Mammary glands; Medical treatment; Standardization; Statistical analysis; Stress;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4994-1
Type :
conf
DOI :
10.1109/ICIECS.2009.5365534
Filename :
5365534
Link To Document :
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