Name
Abstract | ||
|---|---|---|
•A RIMER methodology-based trauma outcome prediction model is developed.•The RIMER-based prediction model is fine-tuned and validated using historical data.•LR, SVM, and ANN models are developed and compared with the RIMER model.•The RIMER model has the best prediction performance among the four models. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.knosys.2015.12.002 | Knowledge-Based Systems |
Keywords | Field | DocType |
Belief rule base,Evidential reasoning approach,Logistic regression,Support vector machine,Artificial neural network,Outcome prediction | Data mining,Inference,Computer science,Support vector machine,Decision support system,Triage,Artificial intelligence,Predictive modelling,Artificial neural network,Evidential reasoning approach,Logistic regression,Machine learning | Journal |
Volume | Issue | ISSN |
95 | C | 0950-7051 |
Citations | PageRank | References |
14 | 0.53 | 22 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guilan Kong | 1 | 99 | 6.05 |
| Dong-Ling Xu | 2 | 2119 | 94.13 |
| Jian-Bo Yang | 3 | 3832 | 203.05 |
| Xiaofeng Yin | 4 | 55 | 12.74 |
| Tianbing Wang | 5 | 17 | 1.27 |
| Baoguo Jiang | 6 | 15 | 1.24 |
| Yonghua Hu | 7 | 25 | 3.10 |