3 papers
cs.GT2026
Dynamic Welfare-Maximizing Pooled Testing
Nicholas Lopez, Francisco Marmolejo-Cossío, Jose Roberto Tello Ayala +1
Pooled testing is a common strategy for public health disease screening under limited testing resources, allowing multiple biological samples to be tested together with the resourc…
cs.LG2024
Pruning the Path to Optimal Care: Identifying Systematically Suboptimal Medical Decision-Making with Inverse Reinforcement Learning
Inko Bovenzi, Adi Carmel, Michael Hu +5
In aims to uncover insights into medical decision-making embedded within observational data from clinical settings, we present a novel application of Inverse Reinforcement Learning…
cs.GT2023
Optimal Testing and Containment Strategies for Universities in Mexico amid COVID-19
Luis Benavides-Vázquez, Héctor Alonso Guzmán-Gutiérrez, Jakob Jonnerby +5
This work sets out a testing and containment framework developed for reopening universities in Mexico following the lockdown due to COVID-19. We treat diagnostic testing as a resou…