Abstract
Muscle strength and physical activity could be used in clinical practice as simple parameters for the identification of those at risk of Diabetic Neuropathy. Otherwise, gender difference effected their appearance. We should give different attention to gender to find the appropriate predictive variables.
Sigma Membership
Unknown
Lead Author Affiliation
National Taipei University of Nursing and Health Sciences, Taipei, Taiwan
Type
Poster
Format Type
Text-based Document, Video Recording
Study Design/Type
N/A
Research Approach
N/A
Keywords:
Body Measurements, Diabetic Neuropathy, Principal Component Analysis (PCA)
Recommended Citation
Lin, Tingru; Wang, Tsae-Jyy; Liu, Chieh-Yu; and Hwu, Chii-Min, "Developing a predictive model of diabetic neuropathy by using principal component analysis" (2020). INRC (Congress). 113.
https://www.sigmarepository.org/inrc/2020/posters_2020/113
Conference Name
31st International Nursing Research Congress
Conference Host
Sigma Theta Tau International
Conference Location
Virtual Event
Conference Year
2020
Rights Holder
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Acquisition
Proxy-submission
Developing a predictive model of diabetic neuropathy by using principal component analysis
Virtual Event
Muscle strength and physical activity could be used in clinical practice as simple parameters for the identification of those at risk of Diabetic Neuropathy. Otherwise, gender difference effected their appearance. We should give different attention to gender to find the appropriate predictive variables.