Name
Title | ||
|---|---|---|
A hybrid neural network model for predicting kidney disease in hypertension patients based on electronic health records. |
Abstract | ||
|---|---|---|
A hybrid neural network model was presented. Based on the constructed dataset, the comparison results of different models demonstrated the effectiveness of the proposed neural model. The proposed model outperformed traditional statistical models with discrete features and neural baseline systems. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1186/s12911-019-0765-4 | BMC Med. Inf. & Decision Making |
Keywords | Field | DocType |
Disease prediction,Electronic health records,Kidney disease,Long short-term memory,Neural network | Data mining,Disease,Long short term memory,Kidney disease,Hybrid neural network,Statistical model,Artificial intelligence,Health informatics,Artificial neural network,Medicine,Machine learning | Journal |
Volume | Issue | ISSN |
19-S | 2 | 1472-6947 |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yafeng Ren | 1 | 102 | 13.57 |
| Hao Fei | 2 | 16 | 15.51 |
| Xiaohui Liang | 3 | 17 | 1.03 |
| Donghong Ji | 4 | 892 | 120.08 |
| Ming Cheng | 5 | 5 | 1.63 |