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Development of early diagnosis of severe sepsis using pattern recognition analysis of NMR data

Research Project

Project/Area Number 26670787
Research Category

Grant-in-Aid for Challenging Exploratory Research

Allocation TypeMulti-year Fund
Research Field Emergency medicine
Research InstitutionKyoto University

Principal Investigator

SUZUKI Takao  京都大学, 医学(系)研究科(研究院), 講師 (40328810)

Co-Investigator(Kenkyū-buntansha) KOIKE Kaoru  京都大学, 大学院医学研究科, 教授 (10267164)
HIRAKAWA Keiko  日本医科大学, 医学部, 助教 (30165162)
SATO Norio  京都大学, 大学院医学研究科, 講師 (30409205)
MORIYAMA Tsuyoshi  東京工芸大学, 工学部, 准教授 (80449032)
Project Period (FY) 2014-04-01 – 2015-03-31
Project Status Completed (Fiscal Year 2014)
Budget Amount *help
¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2014: ¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Keywords敗血症診断 / 核磁気共鳴 / パターン認識 / 核磁気共鳴法
Outline of Final Research Achievements

We included sepsis patients aged 20 and over, and diagnosed in emergency department. Their serum samples were measured with Nuclear Magnetic Resonance (NMR). The NMR data were converted to the numerical data by Fourier transform, phase correction, baseline correction, and so on. The data were visualized by principal component analysis, and then analized with Partial Least Squares Discriminant Analysis (PLS-DA). We could see the tendency of separation of “severe sepsis” and “non-severe sepsis” by clustering in the PLS-DA analysis.

Report

(2 results)
  • 2014 Annual Research Report   Final Research Report ( PDF )

URL: 

Published: 2014-04-04   Modified: 2016-06-03  

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