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http://dx.doi.org/10.18325/jkmr.2017.27.4.97

The Exploratory Analysis on the Registry Data of Patients with Low Back Pain Applying Correlation Analysis Method  

Park, Chang-Hyun (Department of Korean Rehabilitation Medicine, College of Korean Medicine, Gachon University)
Park, Mu-Sun (Department of Physiology, College of Korean Medicine, Gachon University)
Kim, Hyung-Suk (Department of Korean Rehabilitation Medicine, College of Korean Medicine, Kyung-Hee University)
Cha, Yun-Yeop (Department of Korean Rehabilitation Medicine, College of Korean Medicine, Sangji University)
Kim, Soon-Joong (Department of Korean Rehabilitation Medicine, College of Korean Medicine, Se-Myung University)
Ko, Youn-Suk (Department of Rehabilitation Medicine of Korean Medicine, College of Korean Medicine, Woo-Suk University)
Oh, Min-Seok (Department of Korean Rehabilitation Medicine, College of Korean Medicine, Dae-Jeon University)
Hwang, Eui-Hyoung (Department of Rehabilitation Medicine of Korean Medicine, Pusan National University Korean Medicine Hospital)
Shin, Byung-Cheul (Department of Rehabilitation Medicine of Korean Medicine, Pusan National University Korean Medicine Hospital)
Kim, Chang-Eop (Department of Physiology, College of Korean Medicine, Gachon University)
Song, Yun-Kyung (Department of Korean Rehabilitation Medicine, College of Korean Medicine, Gachon University)
Publication Information
Journal of Korean Medicine Rehabilitation / v.27, no.4, 2017 , pp. 97-109 More about this Journal
Abstract
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.
Keywords
Low back pain; Registry; Characterization; Python; Correlation analysis;
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