Internal Validation of a Machine Learning-Based CDSS for Antimicrobial Stewardship

Internal Validation of a Machine Learning-Based CDSS for Antimicrobial Stewardship

<b>Background:</b> Antimicrobial stewardship programs (ASPs) are essential in combating antimicrobial resistance (AMR); however, limited resources hinder their implementation. Arkstone, a biotechnology company, developed a machine learning (ML)-driven clinical decision support system (CD...

Full description

Saved in:
Bibliographic Details
Main Authors: Ari Frenkel, Alicia Rendon, Carlos Chavez-Lencinas, Juan Carlos Gomez De la Torre, Jen MacDermott, Collen Gross, Stephanie Allman, Sheri Lundblad, Ivanna Zavala, Dave Gross, Jessica Siegel, Soojung Choi, Miguel Hueda-Zavaleta
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Life
Subjects:
machine learning
antimicrobial stewardship
antibiotic resistance
clinical decision support
Online Access:https://www.mdpi.com/2075-1729/15/7/1123
Tags: Add Tag
No Tags, Be the first to tag this record!
Be the first to leave a comment!
You must be logged in first

Similar Items