Scholarlink

<p>Pivotal moments in sepsis care occur in the emergency department (ED), however, and it is unclear whether ED data is adequate to inform reinforcement learning (RL) models. We evaluated the early opportunity for the AI Clinician, a validated ICU-based RL-model, as a use case. Amongst emergency sepsis patients, model parameters were often missing and invariably measured. Current iterations of RL-models trained on ICU data face challenges in emergency sepsis care.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Challenges with reinforcement learning model transportability for sepsis treatment in emergency care

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年2月6日

查看全文
  • Peter C. Nauka,
  • Jason N. Kennedy,
  • Emily B. Brant,
  • Matthieu Komorowski,
  • Romain Pirracchio,
  • Derek C. Angus,
  • Christopher W. Seymour

摘要

Pivotal moments in sepsis care occur in the emergency department (ED), however, and it is unclear whether ED data is adequate to inform reinforcement learning (RL) models. We evaluated the early opportunity for the AI Clinician, a validated ICU-based RL-model, as a use case. Amongst emergency sepsis patients, model parameters were often missing and invariably measured. Current iterations of RL-models trained on ICU data face challenges in emergency sepsis care.