A Simulation Optimization Approach for Precision Medicine
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | AI and Analytics for Public Health |
| Subtitle of host publication | Proceedings of the 2020 INFORMS International Conference on Service Science |
| Editors | Hui Yang, Robin Qiu, Weiwei Chen |
| Place of Publication | Cham |
| Publisher | Springer |
| Pages | 281-289 |
| ISBN (electronic) | 978-3-030-75166-1 |
| ISBN (print) | 9783030751654, 978-3-030-75168-5 |
| Publication status | Published - 2022 |
Publication series
| Name | Springer Proceedings in Business and Economics |
|---|---|
| ISSN (Print) | 2198-7246 |
| ISSN (electronic) | 2198-7254 |
Conference
| Title | 2020 INFORMS International Conference on Service Science (ICSS 2020) |
|---|---|
| Location | Virtual |
| Place | United States |
| City | PA |
| Period | 19 - 21 December 2020 |
Link(s)
Abstract
In this research, we consider the emerging problem of precision medicine (PM) in healthcare. We use the tool of simulation to evaluate the performance of feasible treatment methods and make tailored treatment decision for the patients. While simulation enables us to model complex, personalized, and stochastic behaviours, efficiency is still a big concern. To address the computational challenge of conducting simulation experiments, we formulate the PM problem into Ranking and Selection in the presence of covariates and propose an efficient and simple algorithm that can be proven to achieve the optimal allocation for PM asymptotically. A PM case study built from real-world data in the literature shows when compared with the traditional practice for solving PM problems by simulation, the new algorithm can significantly save computational resources.
Research Area(s)
- Precision medicine, Ranking and selection, Simulation optimization
Citation Format(s)
A Simulation Optimization Approach for Precision Medicine. / Du, Jianzhong; Gao, Siyang; Chen, Chun-Hung.
AI and Analytics for Public Health: Proceedings of the 2020 INFORMS International Conference on Service Science. ed. / Hui Yang; Robin Qiu; Weiwei Chen. Cham: Springer , 2022. p. 281-289 (Springer Proceedings in Business and Economics).
AI and Analytics for Public Health: Proceedings of the 2020 INFORMS International Conference on Service Science. ed. / Hui Yang; Robin Qiu; Weiwei Chen. Cham: Springer , 2022. p. 281-289 (Springer Proceedings in Business and Economics).
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
