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Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning

Title data

Peng, Xuefeng ; Ding, Yi ; Wihl, David ; Gottesman, Omer ; Komorowski, Matthieu ; Lehman, Li-wei H. ; Ross, Andrew ; Faisal, A. Aldo ; Doshi-Velez, Finale:
Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning.
In: American Medical Informatics Association Annual Symposium (AMIA 2018). Band 2. - Red Hook, NY : Curran Associates, Inc. , 2019 . - pp. 887-896
ISBN 978-1-5108-7437-4

Further data

Item Type: Article in a book
Refereed: Yes
Institutions of the University: Faculties > Faculty of Life Sciences: Food, Nutrition and Health
Faculties > Faculty of Life Sciences: Food, Nutrition and Health > Lehrstuhl Digital Health mit Schwerpunkt Data Science in Lebenswissenschaften > Lehrstuhl Digital Health mit Schwerpunkt Data Science in Lebenswissenschaften - Univ.-Prof. Dr. Aldo Faisal
Result of work at the UBT: No
DDC Subjects: 600 Technology, medicine, applied sciences > 610 Medicine and health
Date Deposited: 06 Sep 2023 10:27
Last Modified: 06 Sep 2023 10:27
URI: https://eref.uni-bayreuth.de/id/eprint/86793