机器学习在脓毒症诊治中的研究进展

姜莲莲, 谢剑锋, 杨毅 - 中华重症医学电子杂志, 2021 - icu.cma-cmc.com.cn
… Validation of a machine learning algorithm for early severe sepsis prediction: a retrospective
study predicting severe sepsis up to 48 h in advance using a diverse dataset from 461 US …

人工智慧機器學習在重症照護單位的應用

盧紀婷, 周睿信, 林祐霆, 黃柏勳 - 臨床醫學月刊, 2021 - airitilibrary.com
… A machine learning algorithm to predict severe sepsis and septic shock: development,
implementation, and impact on clinical practice. Crit Care Med 2019;47:1485-92. …

[HTML][HTML] 人工智能在临床领域的研究进展及前景展望

伍亚舟, 陈锡程, 易东 - 2022 - aammt.tmmu.edu.cn
… Intelligent screening, intelligent diagnosis, risk prediction, and … will show a more promising
development in the clinical field. … machine learning-based severe Sepsis prediction algorithm

人工智能辅助诊疗在脓毒症管理中的应用进展

杨美程, 李润发, 陈辉, 李建清, 刘澄玉 - 药学进展, 2023 - pps.cpu.edu.cn
… has made some breakthroughs in the early prediction, … ,UL)和强化学习 (reinforcement
learning,RL).本文主要围绕这3 … -aided risk score for predicting sepsis in emergency medical …

Macrophage Proliferation Machinery Drives Immunosuppression and PDAC Progression (巨噬细胞增值机制抑制肿瘤免疫促进胰腺癌发展)

C Zuo - 2022 - openscholarship.wustl.edu
… categories: developmental origin, tissue of residence, and acute … in the model of LPS-induced
septic shock. p21-/- mice shows … Next, we sought to determine if CSF1 was necessary and …