Generation of sentence template graph from SOAP format medical documents

Naoya Onimura; Takanori Yamashita; Naoki Nakayama; Hidehisa Soejima; Sachio Hirokawa

doi:10.1109/CSCI.2016.0037

Generation of sentence template graph from SOAP format medical documents

Naoya Onimura, Takanori Yamashita, Naoki Nakayama, Hidehisa Soejima, Sachio Hirokawa

Medical Information Center

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Clinical pathways are a fixed list of viewpoints todescribe patients' condition. An outcome of a clinical pathwayconsists of several assessments of observation items andinspection items, all of which represented as numerical data. Onthe other hand, free description medical records in the SOAPformat are valuable data that indicate health care worker'sassessments. Standardization of textual description is a key issuewhen integrating these types of medical data. This study extractscharacteristic word 2-grams as source of sentence templates. Weapplied SVM (Support Vector Machine) using each outcomesas positive data. We constructed a search engine for 123736pain variance outcomes. We conducted empirical experimentsto confirm the usefulness of the proposed method.

Original language	English
Title of host publication	Proceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016
Editors	Mary Yang, Hamid R. Arabnia, Leonidas Deligiannidis, Leonidas Deligiannidis
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	159-162
Number of pages	4
ISBN (Electronic)	9781509055104
DOIs	https://doi.org/10.1109/CSCI.2016.0037
Publication status	Published - Mar 17 2017
Event	2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016 - Las Vegas, United States Duration: Dec 15 2016 → Dec 17 2016

Publication series

Name	Proceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016

Other

Other	2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016
Country/Territory	United States
City	Las Vegas
Period	12/15/16 → 12/17/16

All Science Journal Classification (ASJC) codes

Computer Science Applications
Information Systems
Health Informatics
Artificial Intelligence
Computer Networks and Communications

Access to Document

10.1109/CSCI.2016.0037

Cite this

Onimura, N., Yamashita, T., Nakayama, N., Soejima, H., & Hirokawa, S. (2017). Generation of sentence template graph from SOAP format medical documents. In M. Yang, H. R. Arabnia, L. Deligiannidis, & L. Deligiannidis (Eds.), Proceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016 (pp. 159-162). Article 7881330 (Proceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CSCI.2016.0037

Generation of sentence template graph from SOAP format medical documents. / Onimura, Naoya; Yamashita, Takanori; Nakayama, Naoki et al.
Proceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016. ed. / Mary Yang; Hamid R. Arabnia; Leonidas Deligiannidis; Leonidas Deligiannidis. Institute of Electrical and Electronics Engineers Inc., 2017. p. 159-162 7881330 (Proceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Onimura, N, Yamashita, T, Nakayama, N, Soejima, H & Hirokawa, S 2017, Generation of sentence template graph from SOAP format medical documents. in M Yang, HR Arabnia, L Deligiannidis & L Deligiannidis (eds), Proceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016., 7881330, Proceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016, Institute of Electrical and Electronics Engineers Inc., pp. 159-162, 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016, Las Vegas, United States, 12/15/16. https://doi.org/10.1109/CSCI.2016.0037

Onimura N, Yamashita T, Nakayama N, Soejima H, Hirokawa S. Generation of sentence template graph from SOAP format medical documents. In Yang M, Arabnia HR, Deligiannidis L, Deligiannidis L, editors, Proceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016. Institute of Electrical and Electronics Engineers Inc. 2017. p. 159-162. 7881330. (Proceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016). doi: 10.1109/CSCI.2016.0037

Onimura, Naoya ; Yamashita, Takanori ; Nakayama, Naoki et al. / Generation of sentence template graph from SOAP format medical documents. Proceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016. editor / Mary Yang ; Hamid R. Arabnia ; Leonidas Deligiannidis ; Leonidas Deligiannidis. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 159-162 (Proceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016).

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abstract = "Clinical pathways are a fixed list of viewpoints todescribe patients' condition. An outcome of a clinical pathwayconsists of several assessments of observation items andinspection items, all of which represented as numerical data. Onthe other hand, free description medical records in the SOAPformat are valuable data that indicate health care worker'sassessments. Standardization of textual description is a key issuewhen integrating these types of medical data. This study extractscharacteristic word 2-grams as source of sentence templates. Weapplied SVM (Support Vector Machine) using each outcomesas positive data. We constructed a search engine for 123736pain variance outcomes. We conducted empirical experimentsto confirm the usefulness of the proposed method.",

author = "Naoya Onimura and Takanori Yamashita and Naoki Nakayama and Hidehisa Soejima and Sachio Hirokawa",

note = "Funding Information: This research was partially supported by JSPS KAKENHI Grant Number 15H02778. Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016 ; Conference date: 15-12-2016 Through 17-12-2016",

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Generation of sentence template graph from SOAP format medical documents

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All Science Journal Classification (ASJC) codes

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