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

• Autores principales: Kimberly A. Mc Cord-De Iaco (Autor), Francesco Gesualdo (Autor), Elisabetta Pandolfi (Autor), Ileana Croci (Autor), Alberto Eugenio Tozzi (Autor)
• Formato: Libro
• Publicado: Frontiers Media S.A., 2023-05-01T00:00:00Z.
• Materias: article
• Acceso en línea: Connect to this object online.

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...