Name
Abstract | ||
|---|---|---|
The proposed machine learning model has shown to be competitive to standard time-series forecasting models and can be recommended for incorporation in medium-size hospitals automatized scheduling and decision making. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1186/s12911-019-0776-1 | BMC medical informatics and decision making |
Keywords | Field | DocType |
Hospital bed occupancy,NARX,Recurrent neural networks,Time series forecasting | Data mining,Time series,Nonlinear autoregressive exogenous model,Recurrent neural network,Operations research,Occupancy,Artificial neural network,Health informatics,Medicine,Hospital bed,Recursion | Journal |
Volume | Issue | ISSN |
19 | 1 | 1472-6947 |
Citations | PageRank | References |
1 | 0.41 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ekaterina Kutafina | 1 | 7 | 3.63 |
| Istvan Bechtold | 2 | 1 | 0.41 |
| K. Kabino | 3 | 3 | 1.54 |
| Stephan Jonas | 4 | 35 | 8.92 |