Titlebook: Health Care Systems Engineering; HCSE, Montréal, Cana Valérie Bélanger,Nadia Lahrichi,Semih Yalçındağ Conference proceedings 2020 Springer

礼节

Peter T. Vanberkel,Benjamin Wedge,Alix J. E. Carter,Ilze Ziedins

喃喃诉苦

Clio Dosi,Manuel Iori,Arthur Kramer,Matteo Vignoli

设施

Karen Moons,Geert Waeyenbergh,Paul Timmermans,Dirk De Ridder,Liliane Pintelon

围裙

约会

Laura Musaraganyi,Simon Germain,Nadia Lahrichi,Louis-Martin Rousseau

Cardiac-Output

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Non-emergency Patient Transfer Scheduling and Assignment that will minimize travel costs and balance workloads and apply it to a real-world case study. This paper also proposes a framework to utilize historical patient transfer data in the scheduling process. The mathematical model provides decision support for the non-emergency patient transfer scheduling process.

MUTE

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A Meta Algorithm for Reinforcement Learning: Emergency Medical Service Resource Prioritization Problon to approximate values of the upstream subspace. Using temporal difference (TD) learning as an example RL algorithm, we show that SPartAN is able to reliably derive a high-quality policy solution, thereby opening opportunities to solve many practical MDP models in healthcare system problems.