Optimizing the first response to sepsis : an electronic health record-based Markov decision process model
Year of publication: |
2022
|
---|---|
Authors: | Rosenstrom, Erik ; Meshkinfam, Sareh ; Ivy, Julie Simmons ; Goodarzi, Shadi Hassani ; Capan, Muge ; Huddleston, Jeanne ; Romero-Brufau, Santiago |
Published in: |
Decision analysis : a journal of the Institute for Operations Research and the Management Sciences, INFORMS. - Catonsville, MD : INFORMS PubsOnline, ISSN 1545-8504, ZDB-ID 2128587-1. - Vol. 19.2022, 4, p. 265-296
|
Subject: | clinical decision support | continuous-time Markov decision process | electronic health records | optimal stopping problem | sepsis treatment | Markov-Kette | Markov chain | Entscheidung | Decision | E-Health | E-health | Management-Informationssystem | Management information system | Theorie | Theory | Gesundheitsversorgung | Health care | Krankenhaus | Hospital | Mathematische Optimierung | Mathematical programming |
-
The role of decision support systems in attenuating racial biases in healthcare delivery
Ganju, Kartik K., (2020)
-
Piunovskiy, Alexey, (2014)
-
Dynamic multi-priority, multi-class patient scheduling with stochastic service times
Sauré, Antoine, (2020)
- More ...
-
A stochastic model of acute-care decisions based on patient and provider heterogeneity
Capan, Muge, (2017)
-
Optimization and simulation of orthopedic spine surgery cases at mayo clinic
Ozen, Asli, (2016)
-
Elicitation of Preference among Multiple Criteria in Food Distribution by Food Banks
Hasnain, Tanzid, (2021)
- More ...