Name
Title | ||
|---|---|---|
A new evidence-based optimal control in healthcare delivery: A better clinical treatment management for septic patients |
Abstract | ||
|---|---|---|
•A new control method is proposed to improve the traditional optimal control.•Stochastic control system due to the errors or uncertainties is discussed.•Final optimal control that reduce disease progression and overall cost is provided.•The effectiveness of the new method is illustrated with a case of sepsis control. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.cie.2019.106010 | Computers & Industrial Engineering |
Keywords | Field | DocType |
Dynamic system,Sepsis,Healthcare,Optimal control,EBOC method,Machine learning | Health care,Mathematical optimization,Optimal control,Clinical treatment,Engineering,Total cost,Observational error,Genetic algorithm,Dynamical system,Evidence-based practice | Journal |
Volume | ISSN | Citations |
137 | 0360-8352 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuyang Chen | 1 | 3 | 5.78 |
| Kaiming Bi | 2 | 0 | 0.68 |
| Chih-Hang John Wu | 3 | 0 | 0.34 |
| D. Ben-Arieh | 4 | 303 | 13.60 |