Disease Patterns Recognition Based on User-Generated Content

Yuejun Wang; Zhong Yao; Jichang Zhao

doi:10.1109/ICSSSM.2018.8465025

Disease Patterns Recognition Based on User-Generated Content

Yuejun Wang
, Zhong Yao
, Jichang Zhao^*

^*Corresponding author for this work

School of Economics and Management

Beihang University

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

Abstract

With the prosperous development of medical communities such as DingXiang, Good-Doctor-Online, how to use user-generated content (UGC) to tap the hidden value, and better serve the doctors and patients have become a common concern. In this paper, the DingXiang UGC was employed to extract symptom words. The association rules mining based on the skewed support distribution was used to disclose the frequent patterns between the symptoms and diseases. At the same time, the robustness was measured and evaluated. The results of this study can not only help patients with initial self-diagnosis, but also shed light on new ideas for medical research from a data-driven manner.

Original language	English
Title of host publication	2018 15th International Conference on Service Systems and Service Management, ICSSSM 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Print)	9781538651780
DOIs	https://doi.org/10.1109/ICSSSM.2018.8465025
State	Published - 13 Sep 2018
Event	15th International Conference on Service Systems and Service Management, ICSSSM 2018 - Hangzhou, China Duration: 21 Jul 2018 → 22 Jul 2018

Publication series

Name	2018 15th International Conference on Service Systems and Service Management, ICSSSM 2018

Conference

Conference	15th International Conference on Service Systems and Service Management, ICSSSM 2018
Country/Territory	China
City	Hangzhou
Period	21/07/18 → 22/07/18

Keywords

UGC
h-confidence
medical record segmentation
robustness

Access to Document

10.1109/ICSSSM.2018.8465025

Cite this

Wang, Y., Yao, Z., & Zhao, J. (2018). Disease Patterns Recognition Based on User-Generated Content. In 2018 15th International Conference on Service Systems and Service Management, ICSSSM 2018 Article 8465025 (2018 15th International Conference on Service Systems and Service Management, ICSSSM 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSSSM.2018.8465025

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title = "Disease Patterns Recognition Based on User-Generated Content",

abstract = "With the prosperous development of medical communities such as DingXiang, Good-Doctor-Online, how to use user-generated content (UGC) to tap the hidden value, and better serve the doctors and patients have become a common concern. In this paper, the DingXiang UGC was employed to extract symptom words. The association rules mining based on the skewed support distribution was used to disclose the frequent patterns between the symptoms and diseases. At the same time, the robustness was measured and evaluated. The results of this study can not only help patients with initial self-diagnosis, but also shed light on new ideas for medical research from a data-driven manner.",

keywords = "UGC, h-confidence, medical record segmentation, robustness",

author = "Yuejun Wang and Zhong Yao and Jichang Zhao",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 15th International Conference on Service Systems and Service Management, ICSSSM 2018 ; Conference date: 21-07-2018 Through 22-07-2018",

year = "2018",

month = sep,

day = "13",

doi = "10.1109/ICSSSM.2018.8465025",

language = "英语",

isbn = "9781538651780",

series = "2018 15th International Conference on Service Systems and Service Management, ICSSSM 2018",

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Wang, Y, Yao, Z & Zhao, J 2018, Disease Patterns Recognition Based on User-Generated Content. in 2018 15th International Conference on Service Systems and Service Management, ICSSSM 2018., 8465025, 2018 15th International Conference on Service Systems and Service Management, ICSSSM 2018, Institute of Electrical and Electronics Engineers Inc., 15th International Conference on Service Systems and Service Management, ICSSSM 2018, Hangzhou, China, 21/07/18. https://doi.org/10.1109/ICSSSM.2018.8465025

Disease Patterns Recognition Based on User-Generated Content. / Wang, Yuejun; Yao, Zhong; Zhao, Jichang.
2018 15th International Conference on Service Systems and Service Management, ICSSSM 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8465025 (2018 15th International Conference on Service Systems and Service Management, ICSSSM 2018).

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

TY - GEN

T1 - Disease Patterns Recognition Based on User-Generated Content

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AU - Yao, Zhong

AU - Zhao, Jichang

PY - 2018/9/13

Y1 - 2018/9/13

N2 - With the prosperous development of medical communities such as DingXiang, Good-Doctor-Online, how to use user-generated content (UGC) to tap the hidden value, and better serve the doctors and patients have become a common concern. In this paper, the DingXiang UGC was employed to extract symptom words. The association rules mining based on the skewed support distribution was used to disclose the frequent patterns between the symptoms and diseases. At the same time, the robustness was measured and evaluated. The results of this study can not only help patients with initial self-diagnosis, but also shed light on new ideas for medical research from a data-driven manner.

AB - With the prosperous development of medical communities such as DingXiang, Good-Doctor-Online, how to use user-generated content (UGC) to tap the hidden value, and better serve the doctors and patients have become a common concern. In this paper, the DingXiang UGC was employed to extract symptom words. The association rules mining based on the skewed support distribution was used to disclose the frequent patterns between the symptoms and diseases. At the same time, the robustness was measured and evaluated. The results of this study can not only help patients with initial self-diagnosis, but also shed light on new ideas for medical research from a data-driven manner.

KW - UGC

KW - h-confidence

KW - medical record segmentation

KW - robustness

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U2 - 10.1109/ICSSSM.2018.8465025

DO - 10.1109/ICSSSM.2018.8465025

M3 - 会议稿件

AN - SCOPUS:85054407360

SN - 9781538651780

T3 - 2018 15th International Conference on Service Systems and Service Management, ICSSSM 2018

BT - 2018 15th International Conference on Service Systems and Service Management, ICSSSM 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 15th International Conference on Service Systems and Service Management, ICSSSM 2018

Y2 - 21 July 2018 through 22 July 2018

ER -

Wang Y, Yao Z, Zhao J. Disease Patterns Recognition Based on User-Generated Content. In 2018 15th International Conference on Service Systems and Service Management, ICSSSM 2018. Institute of Electrical and Electronics Engineers Inc. 2018. 8465025. (2018 15th International Conference on Service Systems and Service Management, ICSSSM 2018). doi: 10.1109/ICSSSM.2018.8465025

Disease Patterns Recognition Based on User-Generated Content

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Keywords

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