Name
Title | ||
|---|---|---|
Predicting postoperative complications of head and neck squamous cell carcinoma in elderly patients using random forest algorithm model |
Abstract | ||
|---|---|---|
Data mining should be a promising approach used for elderly patients with HNSCC to predict the probability of postoperative complications. Our results highlighted the potential of computational prediction of postoperative complications in elderly patients with HNSCC by using the random forest algorithm model. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1186/s12911-015-0165-3 | BMC Med. Inf. & Decision Making |
Keywords | Field | DocType |
Head and neck squamous cell carcinoma (HNSCC), Postoperative complications, Predictive model, Data mining (DM), Elderly patients | Warning system,Data mining,Head and neck squamous-cell carcinoma,Radiology,Random forest,Surgery,Health informatics,Medicine | Journal |
Volume | Issue | ISSN |
15 | 1 | 1472-6947 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yiming Chen | 1 | 51 | 9.12 |
| Wei Cao | 2 | 0 | 0.34 |
| Xianchao Gao | 3 | 0 | 0.34 |
| Huishan Ong | 4 | 0 | 0.34 |
| Tong Ji | 5 | 0 | 0.34 |