Frontiers in operations: optimal genetic testing of families
Alternative title: | Optimal genetic testing of families |
---|---|
Year of publication: |
2024
|
Authors: | Adelman, Daniel ; Wang, Kanix |
Published in: |
Manufacturing & service operations management : M & SOM. - Linthicum, Md. : Informs, ISSN 1526-5498, ZDB-ID 2023273-1. - Vol. 26.2024, 4, p. 1338-1357
|
Subject: | dynamic programming | genetic testing | healthcare management | Gentechnik | Genetic engineering | Mathematische Optimierung | Mathematical programming | Theorie | Theory | Dynamische Optimierung | Dynamic programming | Gesundheitswesen | Health care system |
-
Optimization and approximation methods for dynamic appointment scheduling with patient choices
Wang, Jin, (2018)
-
Addressing healthcare operational deficiencies using stochastic and dynamic programming
Geng, Na, (2019)
-
A modeling framework for control of preventive services
Örmeci, E. Lerzan, (2016)
- More ...
-
A high-fidelity model to predict length of stay in the neonatal intensive care unit
Wang, Kanix, (2022)
-
A simple algebraic approximation to the Erlang loss system
Adelman, Daniel, (2008)
-
An approximate dynamic programming approach to network revenue management with customer choice
Zhang, Dan, (2009)
- More ...