Reinforcement learning using neural networks in estimating an optimal dynamic treatment regime in patients with sepsis.

Journal: Computer methods and programs in biomedicine
PMID: 40222267

Abstract

OBJECTIVE: Early fluid resuscitation is crucial in the treatment of sepsis, yet the optimal dosage remains debated. This study aims to determine the optimal multi-stage fluid resuscitation dosage for sepsis patients.

Authors

  • Weijie Liang
    Department of Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing, 100191, China.
  • Jinzhu Jia
    Department of Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing, 100191, China; Center for Statistical Science, Peking University, No. 5 Yiheyuan Road, Haidian District, Beijing, 100871, China. Electronic address: jzjia@math.pku.edu.cn.

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