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Paper Abstract and Keywords
Presentation 2018-06-22 10:25
An Inflection-point Detection Method from Series of eGFR Data Measured at Irregular Time Intervals
Di Zhu, Shusuke Hiragi, Masayuki Nambu, Osamu Sugiyama, Goshiro Yamamoto, Kazuya Okamoto, Hiroshi Tamura, Tomohiro Kuroda (Kyoto Univ.) MBE2018-8
Abstract (in Japanese) (See Japanese page) 
(in English) Changes of eGFR (estimated Glomerular Filtration Rate) observed in clinical practice attribute to the effect of the interventions and damages to the kidney. In order to specify potential causes and unknown factors of the change of eGFR decline, we proposed a method to detect inflection points from the series of eGFR values using the rolling window analysis. Considering the eGFR data is often sparse, we preprocessed the raw data by applying linear interpolation. In this study, after detecting inflection points from some eGFR graphs, we asked doctors to diagnose the same samples as well. We evaluated and discussed the performance of the detection method by comparing the results detected by the algorithm and doctors.
Keyword (in Japanese) (See Japanese page) 
(in English) Inflection-point detection / eGFR / Rolling window analysis / / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 106, MBE2018-8, pp. 7-11, June 2018.
Paper # MBE2018-8 
Date of Issue 2018-06-15 (MBE) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee MBE  
Conference Date 2018-06-22 - 2018-06-22 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MBE 
Conference Code 2018-06-MBE 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An Inflection-point Detection Method from Series of eGFR Data Measured at Irregular Time Intervals 
Sub Title (in English)  
Keyword(1) Inflection-point detection  
Keyword(2) eGFR  
Keyword(3) Rolling window analysis  
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1st Author's Name Di Zhu  
1st Author's Affiliation Kyoto University (Kyoto Univ.)
2nd Author's Name Shusuke Hiragi  
2nd Author's Affiliation Kyoto University (Kyoto Univ.)
3rd Author's Name Masayuki Nambu  
3rd Author's Affiliation Kyoto University (Kyoto Univ.)
4th Author's Name Osamu Sugiyama  
4th Author's Affiliation Kyoto University (Kyoto Univ.)
5th Author's Name Goshiro Yamamoto  
5th Author's Affiliation Kyoto University (Kyoto Univ.)
6th Author's Name Kazuya Okamoto  
6th Author's Affiliation Kyoto University (Kyoto Univ.)
7th Author's Name Hiroshi Tamura  
7th Author's Affiliation Kyoto University (Kyoto Univ.)
8th Author's Name Tomohiro Kuroda  
8th Author's Affiliation Kyoto University (Kyoto Univ.)
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Speaker Author-1 
Date Time 2018-06-22 10:25:00 
Presentation Time 25 minutes 
Registration for MBE 
Paper # MBE2018-8 
Volume (vol) vol.118 
Number (no) no.106 
Page pp.7-11 
#Pages 5 
Date of Issue 2018-06-15 (MBE) 

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