Structural and Textual Information Fusion for Symptom and Disease Representation Learning

Sendong Zhao, Meng Jiang, Bing Qin, Ting Liu, Chengxiang 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 languageEnglish (US)
JournalIEEE Transactions on Knowledge and Data Engineering
DOIs
StateAccepted/In press - 2020

Keywords

  • Computer science
  • Disease Prediction
  • Diseases
  • Encoding
  • Information Fusion
  • Learning systems
  • Medical diagnosis
  • Medical diagnostic imaging
  • Network Embedding
  • Representation Learning
  • Semantics

ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications
  • Computational Theory and Mathematics

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