Evaluation of a machine learning capability for a clinical decision support system to enhance antimicrobial stewardship programs
作者：
Highlights：
• We used a supervised learning module to discover expert rules for a clinical decision support system to enhance antimicrobial stewardship programs.
• The learning module was deployed alongside the baseline system to evaluate its ability to discover rules that complement the existing rule set.
• Alerts from learned rules had a rate of intervention equal to that of the baseline system.
• The learning module extracted clinically relevant rules, some of which extend the knowledge base of the baseline system.
摘要
Highlights•We used a supervised learning module to discover expert rules for a clinical decision support system to enhance antimicrobial stewardship programs.•The learning module was deployed alongside the baseline system to evaluate its ability to discover rules that complement the existing rule set.•Alerts from learned rules had a rate of intervention equal to that of the baseline system.•The learning module extracted clinically relevant rules, some of which extend the knowledge base of the baseline system.
论文关键词：Evaluation,Clinical decision support system,Supervised learning,Rule induction,Antimicrobial stewardship
论文评审过程：Received 8 November 2014, Revised 29 January 2016, Accepted 15 February 2016, Available online 22 February 2016, Version of Record 13 April 2016.
论文官网地址：https://doi.org/10.1016/j.artmed.2016.02.001
