Probabilistic modeling approach for interpretable inference and prediction with data for sepsis diagnosis

作者：

Highlights：

• A new probabilistic modeling approach is used for sepsis diagnosis.

• The classifier built by the approach features a unique strong interpretability.

• The new approach is helpful for diagnostic decision-making in sepsis diagnosis.

摘要

•A new probabilistic modeling approach is used for sepsis diagnosis.•The classifier built by the approach features a unique strong interpretability.•The new approach is helpful for diagnostic decision-making in sepsis diagnosis.

论文关键词：Sepsis diagnosis,Probabilistic modeling,Rule-based inference,Interpretability,Maximum likelihood evidential reasoning framework

论文评审过程：Received 18 March 2020, Revised 9 April 2021, Accepted 1 June 2021, Available online 5 June 2021, Version of Record 13 June 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115333