Welcome to Francis Academic Press

Frontiers in Medical Science Research, 2019, 1(1); doi: 10.25236/FMSR.20190111.

Evaluation of Diabetes Treatment Based on Principal Component Analysis

Author(s)

Liu Yi

Corresponding Author:
Liu Yi
Affiliation(s)

College of Nursing, Huazhong University of Science and Technology (Tongji Medical College), Wuhan, Hubei, 430030, China

Abstract

Diabetes severely jeopardizes the health of patients. In order to improve the safety of patients, this paper screens out 11 indicators related to the medical effects of diabetes according to the conceptual framework of the evaluation system of II type diabetes medical effects, and then conducts Pearson on these indicators. Correlation analysis, combining or deleting three related indicators, and finally carrying out principal component analysis on the remaining eight indicators, ranking the three main components extracted as first-level indicators, and the remaining indicators are listed as secondary indicators, establishing A set of indicators for evaluating the effectiveness of diabetes medical treatment.

Keywords

diabetes, pearson correlation analysis, evaluation index, principal

Cite This Paper

Xingyuan Zhao. Evaluation of Diabetes Treatment Based on Principal Component Analysis. Frontiers in Medical Science Research (2019) Vol. 1 Issue 1: 92-95. https://doi.org/10.25236/FMSR.20190111.

References

[1] Liu Xinjian, He Lanjie. Systematic Analysis of Medical Results Evaluation Program for Type II Diabetes [J]. Science and Technology Management Research, 2009, v.29; No.v.29 (8): 108-110.
[2]Si Sukui, editor, mathematical modeling algorithm and program, Shandong: Naval Aeronautical Engineering Institute, 2007.
[3] He Xiaoqun, editor, multivariate statistical analysis, Beijing: China Renmin University Press, 2012.