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KMID : 0895820170270040097
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Journal of Oriental Rehabilitation Medicine
2017 Volume.27 No. 4 p.97 ~ p.109
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The Exploratory Analysis on the Registry Data of Patients with Low Back Pain Applying Correlation Analysis Method
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Park Chang-Hyun
Park Mu-Sun
Kim Hyung-Suk
Cha Yun-Yeop
Kim Soon-Joong
Ko Youn-Seok
Oh Min-Seok
Hwang Eui-Hyoung
Shin Byung-Cheul
Kim Chang-Eop
Song Yun-Kyung
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Abstract
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Objectives: The aim of this study is to analyze the patients who have low back pain through registry.
Methods: We registered patients with low back pain who visited department of korean rehabilitation medicine in university hospitals on study. We collected data from 116 subjects consisted of 51 inpatients and 65 outpatients and ruled out 8 who didn't have pattern identification data at the point of inpatient or outpatient visit so we analyzed 108 in total. We used Pearson's product moment correlation to find correlationship among variables, and analyzed statistical data using Phyton scipy library stats package.
Results: We set general features, region of the pain, physical examination, ROM, questionnaire results, pattern identification as variables and draw a conclusion by analyzing these variables.
Conclusions: Registry aimed at low back pain patients was established in department of korean rehabilitation medicine of university hospitals and exploratory analysis based on data were made. Through the registry, we expect that more advanced studies will be performed; for example, executing research which verifies effectiveness and stability of korean medical treatment or developing tools to fill the gap between pattern identification and disease identification.
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KEYWORD
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Low back pain , Registry , Characterization , Python , Correlation analysis
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