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

Correlation 분석 기법을 적용한 요통 환자에 관한 레지스트리 데이터의 탐색적 분석

  • Park, Chang-Hyun ;
  • Park, Mu-Sun ;
  • Kim, Hyung-Suk ;
  • Cha, Yun-Yeop ;
  • Kim, Soon-Joong ;
  • Ko, Youn-Suk ;
  • Oh, Min-Seok ;
  • Hwang, Eui-Hyoung ;
  • Shin, Byung-Cheul ;
  • Kim, Chang-Eop ;
  • Song, Yun-Kyung
  • 박창현 ;
  • 박무순 ;
  • 김형석 ;
  • 차윤엽 ;
  • 김순중 ;
  • 고연석 ;
  • 오민석 ;
  • 황의형 ;
  • 신병철 ;
  • 김창업 ;
  • 송윤경
  • Received : 2017.09.14
  • Accepted : 2017.10.10
  • Published : 2017.10.31

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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Acknowledgement

Supported by : 보건복지부