Assessing the value of data for prediction policies: the case of antibiotic prescribing

DOI10.1016/J.ECONLET.2022.110360zbMath1484.92040OpenAlexW4213195206MaRDI QIDQ2127308

Michael Allan Ribers, Shan Huang, Hannes Ullrich

Publication date: 20 April 2022

Published in: Economics Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.econlet.2022.110360

zbMATH Keywords

machine learningadministrative dataantibiotic prescribingprediction policy problemvalue of data

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Medical applications (general) (92C50)

Uses Software

• XGBoost

Cites Work

• Greedy function approximation: A gradient boosting machine.
• Human Decisions and Machine Predictions*

This page was built for publication: Assessing the value of data for prediction policies: the case of antibiotic prescribing