Name
Abstract | ||
|---|---|---|
We present the results of a pilot study created to explore a subset of complex data, utilizing an agent-based model simulation tool. These results center on data taken from hospital admission records, tracking patient attributes and how they relate to patient outcomes. The focus of this work is to highlight three design principles: 1) using an iterative process between the modeling of a system and the grounding of that simulation with real-world data; 2) a focus on agent primitives, emphasizing bottom-up emergence of effects, rather than top-down control; and 3) integration of various "theories" of patient care and hospital effectiveness as a method for experimentation with Complex Adaptive System-based data mining. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-15420-1_3 | ADMI |
Keywords | Field | DocType |
results center,hospital effectiveness,agent-based exploration,patient attribute,complex adaptive system-based data,patient outcome,hospital admission record,agent-based model simulation tool,pilot study,real-world data,hospital environment,complex data,patient care,bottom up,data mining | Design elements and principles,Data mining,Iterative and incremental development,Computer science,Complex data type,Patient care,Complex adaptive system | Conference |
Volume | ISSN | ISBN |
5980 | 0302-9743 | 3-642-15419-0 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ted Carmichael | 1 | 11 | 4.79 |
| Mirsad Hadzikadic | 2 | 81 | 53.90 |
| Ognjen Gajic | 3 | 3 | 5.56 |