Development and utility assessment of a machine learning bloodstream infection classifier in pediatric patients receiving cancer treatments

Development and utility assessment of a machine learning bloodstream infection classifier in pediatric patients receiving cancer treatments

Abstract Background Objectives were to build a machine learning algorithm to identify bloodstream infection (BSI) among pediatric patients with cancer and hematopoietic stem cell transplantation (HSCT) recipients, and to compare this approach with presence of neutropenia to identify BSI. Methods We...

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Bibliographic Details
Main Authors: Lillian Sung, Conor Corbin, Ethan Steinberg, Emily Vettese, Aaron Campigotto, Loreto Lecce, George A. Tomlinson, Nigam Shah
Format: Article
Language:English
Published: BMC 2020-11-01
Series:BMC Cancer
Subjects:
Machine learning
Classifier
Bloodstream infection
Children
Cancer
Online Access:http://link.springer.com/article/10.1186/s12885-020-07618-2

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http://link.springer.com/article/10.1186/s12885-020-07618-2

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