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 | |
| 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