Name
Abstract | ||
|---|---|---|
As a matter of fact, an Intensive Care Unit (ICU) stands for a hospital facility where patients require close observation and monitoring. Indeed, predicting Length-of-Stay (LoS) at ICUs is essential not only to provide them with improved Quality-of-Care, but also to help the hospital management to cope with hospital resources. Therefore, in this work one's aim is to present an Artificial Intelligence based Decision Support System to assist on the prediction of LoS at ICUs, which will be centered on a formal framework based on a Logic Programming acquaintance for knowledge representation and reasoning, complemented with a Case Based approach to computing, and able to handle unknown, incomplete, or even contradictory data, information or knowledge. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.3233/978-1-61499-674-3-191 | Frontiers in Artificial Intelligence and Applications |
Keywords | Field | DocType |
Intensive Care Unit,Length of Stay,Knowledge Representation and Reasoning,Logic Programming,Case-Based Reasoning,Quality of Care | Intensive care unit,Knowledge representation and reasoning,Systems engineering,Engineering management,Computer science,Case base,Quality of care,Logic programming,Case-based reasoning,Intensive care | Conference |
Volume | ISSN | Citations |
286 | 0922-6389 | 5 |
PageRank | References | Authors |
0.58 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ana Silva | 1 | 5 | 1.59 |
| Henrique Vicente | 2 | 24 | 16.93 |
| António Abelha | 3 | 243 | 57.30 |
| Manuel Filipe Santos | 4 | 360 | 68.91 |
| José Machado | 5 | 207 | 34.92 |
| João Neves | 6 | 12 | 2.85 |
| José Neves | 7 | 580 | 75.09 |