| IEICE Technical Committee Submission System Conference Paper's Information |
Online Proceedings [Sign in] Tech. Rep. Archives |
| Go Top Page | Go Previous | [Japanese] / [English] |
| Paper Abstract and Keywords | ||
| Presentation | 2019-02-08 10:45 Development of Phenotyping algorithm from Medical Text-based Data using Machine Learning Methods Takanori Yamashita, Rieko Izukura, Sachio Hirokawa, Naoki Nakashima (Kyushu Univ.)  NLC2018-45 |
|
| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Electronic medical records (EMRs) accumulated in the Hospital Information System (HIS) are called Real World Data (RWD). Utilization of RWD can help advance promising treatments, detect side effects detection, and improve the efficiency of previously-unknown medical treatment which were unknown in previous clinical research and intervention studies. We must develop some phenotyping algorithms to ensure high performance from RWD. Although drugs, laboratory tests, diagnoses and surgeries can be expressed as structured data, patient symptoms, the rationales for various medical treatments and the patient outcomes are often described in free-text format. In this research, we aimed to develop true Interstitial Pneumonia case extraction an algorithm from unstructured text-based data. 48 cases were diagnosed Interstitial pneumonia by chest physician from CT reports of sampling 100 cases. Three machine learning methods (Support Vector Machine, Feature Selection and Gradient Boosting Decision Tree) were combined for development of text corresponding phenotyping. We extracted 6 keywords as feature word from its score using machine learning methods, and PPV is 0.483 and sensitivity is 0.875 when one of them is included. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Interstitial pneumonia / SVM / GBDT / Phenotyping / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 439, NLC2018-45, pp. 53-57, Feb. 2019. | |
| Paper # | NLC2018-45 | |
| Date of Issue | 2019-01-31 (NLC) | |
| 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 | NLC2018-45 |
|
| Conference Information | |
| Committee | NLC IPSJ-IFAT |
| Conference Date | 2019-02-07 - 2019-02-08 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Ryukoku University Omiya Campus |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | The 14th Text Analytics Symposium |
| Paper Information | |
| Registration To | NLC |
| Conference Code | 2019-02-NLC-IFAT |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Development of Phenotyping algorithm from Medical Text-based Data using Machine Learning Methods |
| Sub Title (in English) | |
| Keyword(1) | Interstitial pneumonia |
| Keyword(2) | SVM |
| Keyword(3) | GBDT |
| Keyword(4) | Phenotyping |
| Keyword(5) | |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Takanori Yamashita |
| 1st Author's Affiliation | Kyushu University (Kyushu Univ.) |
| 2nd Author's Name | Rieko Izukura |
| 2nd Author's Affiliation | Kyushu University (Kyushu Univ.) |
| 3rd Author's Name | Sachio Hirokawa |
| 3rd Author's Affiliation | Kyushu University (Kyushu Univ.) |
| 4th Author's Name | Naoki Nakashima |
| 4th Author's Affiliation | Kyushu University (Kyushu Univ.) |
| 5th Author's Name | |
| 5th Author's Affiliation | () |
| 6th Author's Name | |
| 6th Author's Affiliation | () |
| 7th Author's Name | |
| 7th Author's Affiliation | () |
| 8th Author's Name | |
| 8th Author's Affiliation | () |
| 9th Author's Name | |
| 9th Author's Affiliation | () |
| 10th Author's Name | |
| 10th Author's Affiliation | () |
| 11th Author's Name | |
| 11th Author's Affiliation | () |
| 12th Author's Name | |
| 12th Author's Affiliation | () |
| 13th Author's Name | |
| 13th Author's Affiliation | () |
| 14th Author's Name | |
| 14th Author's Affiliation | () |
| 15th Author's Name | |
| 15th Author's Affiliation | () |
| 16th Author's Name | |
| 16th Author's Affiliation | () |
| 17th Author's Name | |
| 17th Author's Affiliation | () |
| 18th Author's Name | |
| 18th Author's Affiliation | () |
| Speaker | Author-1 |
| Date Time | 2019-02-08 10:45:00 |
| Presentation Time | 25 minutes |
| Registration for | NLC |
| Paper # | NLC2018-45 |
| Volume (vol) | vol.118 |
| Number (no) | no.439 |
| Page | pp.53-57 |
| #Pages | 5 |
| Date of Issue | 2019-01-31 (NLC) |
[Return to Top Page]