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| Presentation | 2018-06-13 15:00 A Study of Numerical Prediction of 2-hour Plasma Glucose Level during OGTT using Machine Learning Katsutoshi Maeta, Yu Nishiyama (UEC), Kazutoshi Fujibayashi (JUN), Toshiaki Gunji, Noriko Sasabe, Kimiko Iijima (NTT Medical Center Tokyo), Toshio Naito (JUN)  IBISML2018-9 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Oral glucose tolerance test (OGTT) is a method used to diagnose diabetes. Subjects take a 75 g glucose solution in a short time. Subject's blood samples are collected at regular time intervals and the plasma glucose levels are measured. Plasma glucose level 2 hours after loading is used for the diagnosis of diabetes. In this paper, we apply the machine learning method XGBoost to the 75 g-OGTT data obtained from the general health checkup programs provided by the center of preventive medicine at NTT Medical Center Tokyo, and report the result of predicting OGTT 2-hour plasma glucose level from other biochemical test values. Prediction accuracy was improved using the previous value of 75 g-OGTT. However, the maximum determination coefficient obtained was 0.627. In order to improve prediction accuracy, future works include to select more adequate input variables, machine learning methods, increase the number of data, or use questionnaire data (current medical history, past history, family history, lifestyle). | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Oral Glucose Tolerance Test / OGTT / Machine Learning / XGBoost / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 81, IBISML2018-9, pp. 61-66, June 2018. | |
| Paper # | IBISML2018-9 | |
| Date of Issue | 2018-06-06 (IBISML) | |
| 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) | |
| Download PDF | IBISML2018-9 |
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| Conference Information | |
| Committee | NC IBISML IPSJ-BIO IPSJ-MPS |
| Conference Date | 2018-06-13 - 2018-06-15 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Okinawa Institute of Science and Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Machine Learning Approach to Biodata Mining, and General |
| Paper Information | |
| Registration To | IBISML |
| Conference Code | 2018-06-NC-IBISML-BIO-MPS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study of Numerical Prediction of 2-hour Plasma Glucose Level during OGTT using Machine Learning |
| Sub Title (in English) | |
| Keyword(1) | Oral Glucose Tolerance Test |
| Keyword(2) | OGTT |
| Keyword(3) | Machine Learning |
| Keyword(4) | XGBoost |
| Keyword(5) | |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Katsutoshi Maeta |
| 1st Author's Affiliation | The University of Electro-Communication (UEC) |
| 2nd Author's Name | Yu Nishiyama |
| 2nd Author's Affiliation | The University of Electro-Communication (UEC) |
| 3rd Author's Name | Kazutoshi Fujibayashi |
| 3rd Author's Affiliation | Juntendo University (JUN) |
| 4th Author's Name | Toshiaki Gunji |
| 4th Author's Affiliation | NTT Medical Center Tokyo (NTT Medical Center Tokyo) |
| 5th Author's Name | Noriko Sasabe |
| 5th Author's Affiliation | NTT Medical Center Tokyo (NTT Medical Center Tokyo) |
| 6th Author's Name | Kimiko Iijima |
| 6th Author's Affiliation | NTT Medical Center Tokyo (NTT Medical Center Tokyo) |
| 7th Author's Name | Toshio Naito |
| 7th Author's Affiliation | Juntendo University (JUN) |
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| Speaker | Author-2 |
| Date Time | 2018-06-13 15:00:00 |
| Presentation Time | 25 minutes |
| Registration for | IBISML |
| Paper # | IBISML2018-9 |
| Volume (vol) | vol.118 |
| Number (no) | no.81 |
| Page | pp.61-66 |
| #Pages | 6 |
| Date of Issue | 2018-06-06 (IBISML) |
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