Structural and Textual Information Fusion for Symptom and Disease Representation Learning

Sendong Zhao; Meng Jiang; Bing Qin; Ting Liu; Cheng Xiang Zhai; Fei Wang

doi:10.1109/TKDE.2020.3039469

Structural and Textual Information Fusion for Symptom and Disease Representation Learning

Sendong Zhao, Meng Jiang, Bing Qin, Ting Liu, Cheng Xiang Zhai, Fei Wang

Research output: Contribution to journal › Article › peer-review

Abstract

Online medical consult and offline medical check-in have generated a large amount of health-related data in medical forums and patient records. However, exploiting the user-generated content for orienting patients online and assisting medical checkup offline is nontrivial due to the sparsity of symptom-disease associations. The serious sparsity is caused by the informal/chatty expressions of symptoms in the data.

Original language	English (US)
Pages (from-to)	4468-4483
Number of pages	16
Journal	IEEE Transactions on Knowledge and Data Engineering
Volume	34
Issue number	9
DOIs	https://doi.org/10.1109/TKDE.2020.3039469
State	Published - Sep 1 2022

Keywords

Computer science
Disease Prediction
Diseases
Encoding
Information Fusion
Learning systems
Medical diagnosis
Medical diagnostic imaging
Network Embedding
Representation Learning
Semantics
information fusion
network embedding
Representation learning
disease prediction

ASJC Scopus subject areas

Information Systems
Computer Science Applications
Computational Theory and Mathematics

Online availability

10.1109/TKDE.2020.3039469

Library availability

Discover UIUC Full Text

Cite this

@article{18024639e1e74cd99802874995ee7e0e,

title = "Structural and Textual Information Fusion for Symptom and Disease Representation Learning",

abstract = "Online medical consult and offline medical check-in have generated a large amount of health-related data in medical forums and patient records. However, exploiting the user-generated content for orienting patients online and assisting medical checkup offline is nontrivial due to the sparsity of symptom-disease associations. The serious sparsity is caused by the informal/chatty expressions of symptoms in the data.",

keywords = "Computer science, Disease Prediction, Diseases, Encoding, Information Fusion, Learning systems, Medical diagnosis, Medical diagnostic imaging, Network Embedding, Representation Learning, Semantics, information fusion, network embedding, Representation learning, disease prediction",

author = "Sendong Zhao and Meng Jiang and Bing Qin and Ting Liu and Zhai, {Cheng Xiang} and Fei Wang",

note = "Publisher Copyright: {\textcopyright} 1989-2012 IEEE.",

year = "2022",

month = sep,

day = "1",

doi = "10.1109/TKDE.2020.3039469",

language = "English (US)",

volume = "34",

pages = "4468--4483",

journal = "IEEE Transactions on Knowledge and Data Engineering",

issn = "1041-4347",

publisher = "IEEE Computer Society",

number = "9",

}

TY - JOUR

T1 - Structural and Textual Information Fusion for Symptom and Disease Representation Learning

AU - Zhao, Sendong

AU - Jiang, Meng

AU - Qin, Bing

AU - Liu, Ting

AU - Zhai, Cheng Xiang

AU - Wang, Fei

PY - 2022/9/1

Y1 - 2022/9/1

N2 - Online medical consult and offline medical check-in have generated a large amount of health-related data in medical forums and patient records. However, exploiting the user-generated content for orienting patients online and assisting medical checkup offline is nontrivial due to the sparsity of symptom-disease associations. The serious sparsity is caused by the informal/chatty expressions of symptoms in the data.

AB - Online medical consult and offline medical check-in have generated a large amount of health-related data in medical forums and patient records. However, exploiting the user-generated content for orienting patients online and assisting medical checkup offline is nontrivial due to the sparsity of symptom-disease associations. The serious sparsity is caused by the informal/chatty expressions of symptoms in the data.

KW - Computer science

KW - Disease Prediction

KW - Diseases

KW - Encoding

KW - Information Fusion

KW - Learning systems

KW - Medical diagnosis

KW - Medical diagnostic imaging

KW - Network Embedding

KW - Representation Learning

KW - Semantics

KW - information fusion

KW - network embedding

KW - Representation learning

KW - disease prediction

UR - http://www.scopus.com/inward/record.url?scp=85097192268&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85097192268&partnerID=8YFLogxK

U2 - 10.1109/TKDE.2020.3039469

DO - 10.1109/TKDE.2020.3039469

M3 - Article

AN - SCOPUS:85097192268

SN - 1041-4347

VL - 34

SP - 4468

EP - 4483

JO - IEEE Transactions on Knowledge and Data Engineering

JF - IEEE Transactions on Knowledge and Data Engineering

IS - 9

ER -

Structural and Textual Information Fusion for Symptom and Disease Representation Learning

Abstract

Keywords

ASJC Scopus subject areas

Online availability

Library availability

Related links

Fingerprint

Cite this