Developing a predictive model of diabetic neuropathy by using principal component analysis
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Tingru Lin, SN; Tsae-Jyy Wang, professor -- School of Nursing, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan; Chieh-Yu Liu, PhD, Department of Language Speech Pathology and Audiology, and Department of Midwifery and Women Health Care, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan; Chii-Min Hwu, Associate professor, Section of Endocrinology and Metabolism, Department of Medicine, Taipei Veterans General Hospital, Taipei City, Taiwan
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- Unknown
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- National Taipei University of Nursing and Health Sciences, Taipei, Taiwan
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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.
The presentation poster, abstract, and video files are attached to this item record.
The poster presentation is available as a streamable embed for patrons' convenience.
Video Length: Approximately 4 minutes, 30 seconds
Type | Poster |
Acquisition | Proxy-submission |
Review Type | Abstract Review Only: Reviewed by Event Host |
Format | Text-based Document |
Evidence Level | N/A |
Research Approach | N/A |
Keywords | Body Measurements; Diabetic Neuropathy; Principal Component Analysis (PCA) |
Name | 31st International Nursing Research Congress |
Host | Sigma Theta Tau International |
Location | Virtual Event |
Date | 2020 |
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