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) |
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Journal | IEEE Transactions on Knowledge and Data Engineering |
DOIs | |
State | Accepted/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