A Simulation Optimization Approach for Precision Medicine

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

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Author(s)

Related Research Unit(s)

Detail(s)

Original languageEnglish
Title of host publicationAI and Analytics for Public Health
Subtitle of host publicationProceedings of the 2020 INFORMS International Conference on Service Science
EditorsHui Yang, Robin Qiu, Weiwei Chen
Place of PublicationCham
PublisherSpringer 
Pages281-289
ISBN (Electronic)978-3-030-75166-1
ISBN (Print)9783030751654, 978-3-030-75168-5
Publication statusPublished - 2022

Publication series

NameSpringer Proceedings in Business and Economics
ISSN (Print)2198-7246
ISSN (Electronic)2198-7254

Conference

Title2020 INFORMS International Conference on Service Science (ICSS 2020)
LocationVirtual
PlaceUnited States
CityPA
Period19 - 21 December 2020

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).

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review