Development of Patient Information Extraction Method by Sequence Labeling using Electronic Medical Records

被引：0

作者：

Kushima, Muneo ^{[1
]}

Matsuo, Ryosuke ^{[1
]}

Ogawa, Taisuke ^{[1
]}

Araki, Kenji ^{[1
]}

Hasegawa, Yoshiyuki ^{[2
]}

Nozue, Suguru ^{[2
]}

Okazaki, Emi ^{[2
]}

Koga, Hisayoshi ^{[2
]}

机构：

[1] Univ Miyazaki Hosp, Inst Res Dept, Miyazaki, Japan

[2] NTT Data Corp, Mfg IT Innovat Sect, Tokyo, Japan

来源：

2020 IEEE 50TH INTERNATIONAL SYMPOSIUM ON MULTIPLE-VALUED LOGIC (ISMVL 2020) | 2020年

关键词：

electronic medical record; regular expression match; sequence labeling; machine Learning;

D O I：

10.1109/ISMVL49045.2020.00-21

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This research aims to utilize and promote the research and development in the medical field by establishing extraction techniques for patient information such as genetic test results, cancer stage classification, and side effects, which are strongly demanded by pharmaceutical companies. Using two types of methods, "Rule Base (Regular Expression Match)" and "Machine Learning (Sequence Labeling)" with different features as patient information extraction methods, using the Electronic Medical Record (EMR) data of University of Miyazaki Hospital (UMH) was developed. As a result, although it was necessary to evaluate the accuracy of the rule base and machine learning and solve the problem, it was found that the expected patient information could be extracted.

引用

页码：105 / 110

页数：6

共 4 条

[1] Araki K, 2019, INT MULTICONFERENCE
[2] GARNAUT R, 1992, ECONOMIC REFORM AND INTERNATIONALISATION: CHINA AND THE PACIFIC REGION, P1
[3] Japan Medical Network Association, MILL MED REC PROJ
[4] Development of an ''Alert Framework'' Based on the Practices in the Medical Front
Sakata, Takuya
Araki, Kenji
Yamazaki, Tomoyoshi
Kawano, Koichi
Maeda, Minoru
Kushima, Muneo
Araki, Sanae
[J]. JOURNAL OF MEDICAL SYSTEMS, 2018, 42 (06)

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