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 journalArticlepeer-review


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)
Pages (from-to)4468-4483
Number of pages16
JournalIEEE Transactions on Knowledge and Data Engineering
Issue number9
StatePublished - Sep 1 2022


  • 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


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