Stochastic Parrots or ICU Experts? Large Language Models in Critical Care Medicine: A Scoping Review

no code implementations • 27 Jul 2024 • Tongyue Shi, Jun Ma, Zihan Yu, Haowei Xu, Minqi Xiong, Meirong Xiao, Yilin Li, Huiying Zhao, Guilan Kong

Peer-reviewed journal and conference articles that discussed the application of LLMs in critical care settings were included.

Ethics Feature Engineering +1

Identifying Subgroups of ICU Patients Using End-to-End Multivariate Time-Series Clustering Algorithm Based on Real-World Vital Signs Data

no code implementations • 3 Jun 2023 • Tongyue Shi, Zhilong Zhang, Wentie Liu, Junhua Fang, Jianguo Hao, Shuai Jin, Huiying Zhao, Guilan Kong

This study employed the MIMIC-IV database as data source to investigate the use of dynamic, high-frequency, multivariate time-series vital signs data, including temperature, heart rate, mean blood pressure, respiratory rate, and SpO2, monitored first 8 hours data in the ICU stay.

Clustering ICU Mortality +3

Learning Optimal Treatment Strategies for Sepsis Using Offline Reinforcement Learning in Continuous Space

no code implementations • 22 Jun 2022 • Zeyu Wang, Huiying Zhao, Peng Ren, Yuxi Zhou, Ming Sheng

Sepsis is a leading cause of death in the ICU.

reinforcement-learning Reinforcement Learning (RL)