all AI news
Learning Optimal Treatment Strategies for Sepsis Using Offline Reinforcement Learning in Continuous Space. (arXiv:2206.11190v1 [cs.LG])
June 23, 2022, 1:11 a.m. | Zeyu Wang, Huiying Zhao, Peng Ren, Yuxi Zhou, Ming Sheng
cs.LG updates on arXiv.org arxiv.org
Sepsis is a leading cause of death in the ICU. It is a disease requiring
complex interventions in a short period of time, but its optimal treatment
strategy remains uncertain. Evidence suggests that the practices of currently
used treatment strategies are problematic and may cause harm to patients. To
address this decision problem, we propose a new medical decision model based on
historical data to help clinicians recommend the best reference option for
real-time treatment. Our model combines offline reinforcement …
arxiv continuous learning lg reinforcement reinforcement learning space strategies treatment
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Senior ML Researcher - 3D Geometry Processing | 3D Shape Generation | 3D Mesh Data
@ Promaton | Europe
Software Engineer, Data Platforms
@ Whatnot | San Francisco, CA, Los Angeles, CA, New York City, Phoenix, AZ, Seattle, WA, Denver, CO
Staff Data Engineer, Data Platform
@ Lilt | Indianapolis
Business Data Analyst - New Division
@ Breakthru Beverage Group | Toronto, ON, Canada
Data Operations Associate
@ iCapital | New York City, United States
Senior Data Scientist, R&D
@ Plusgrade | Toronto, Ontario