Drift-Adaptive ICU Intervention Prediction: Freezing the Physiological Encoder for Auditable Model Updating
重症监护室时间序列预测中的生物失忆:一种具有时间检索的漂移自适应双流架构
机构 * Patuakhali Science and Technology University(帕图阿卡利科学技术大学) ; University of Dhaka(达卡大学)
专题命中 生物医学文本 :clinical AI(abstract);分类 cs.LG、q-bio
AI总结 研究重症监护室时间序列预测中临床决策支持系统退化问题,提出自适应临床智能架构,通过解耦生理与治疗表征、限制参数更新等实现漂移自适应,实验验证其有效性,为高风险临床环境中部署自适应模型提供模板。
Comments v2: narrower scope. The v1 cross-model XGBoost comparison, is not carried forward: it used a fixed threshold across differently calibrated models. Claims are now restricted to within-architecture comparisons (selective vs. full adaptation); retrieval results are exploratory. Title updated. 12 pages, 4 figures, 7 tables. Code: this https URL (https://github.com/empresst/ClinicalRag). Under review