Machine learning clinical decision support systems for surveillance: a case study on pertussis and RSV in children

We tested the performance of a machine learning (ML) algorithm based on signs and symptoms for the diagnosis of RSV infection or pertussis in the first year of age to support clinical decisions and provide timely data for public health surveillance. We used data from a retrospective case series of c...

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Auteurs principaux:	Kimberly A. Mc Cord—De Iaco, Francesco Gesualdo, Elisabetta Pandolfi, Ileana Croci, Alberto Eugenio Tozzi
Format:	Artigo
Langue:	Inglês
Publié:	Frontiers Media S.A. 2023-05-01
Collection:	Frontiers in Pediatrics
Sujets:	machine learning artificial intelligence surveillance clinical decision support systems pertussis respiratory syncytial virus
Accès en ligne:	https://www.frontiersin.org/articles/10.3389/fped.2023.1112074/full
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