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Your search keyword '"Antoñanzas JM"' showing total 2 results
Start Over Author "Antoñanzas JM" Topic machine learning
2 results on '"Antoñanzas JM"'

1. Symptom-Based Predictive Model of COVID-19 Disease in Children

Author

Antoñanzas JM, Perramon A, López C, Boneta M, Aguilera C, Capdevila R, Gatell A, Serrano P, Poblet M, Canadell D, Vilà M, Catasús G, Valldepérez C, Català M, Soler-Palacín P, Prats C, Soriano-Arandes A, and The Copedi-Cat Research Group

Subjects
machine learning, microbiology, deep learning, paediatrics, COVID-19, epidemiology, SARS-CoV-2
Abstract

BACKGROUND: Testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is neither always accessible nor easy to perform in children. We aimed to propose a machine learning model to assess the need for a SARS-CoV-2 test in children (

Published
2021

2. Symptom-Based Predictive Model of COVID-19 Disease in Children

Author

Jesús M. Antoñanzas, Aida Perramon, Cayetana López, Mireia Boneta, Cristina Aguilera, Ramon Capdevila, Anna Gatell, Pepe Serrano, Miriam Poblet, Dolors Canadell, Mònica Vilà, Georgina Catasús, Cinta Valldepérez, Martí Català, Pere Soler-Palacín, Clara Prats, Antoni Soriano-Arandes, the COPEDI-CAT Research Group, Institut Català de la Salut, [Antoñanzas JM, López C, Boneta M, Aguilera C] Barcelona School of Informatics, Universitat Politècnica de Catalunya (UPC⋅BarcelonaTech), Barcelona, Spain. [Perramon A] Department of Physics, Universitat Politècnica de Catalunya (UPC⋅BarcelonaTech), Barcelona, Spain. [Capdevila R] ABS Borges Blanques, Institut Català de Salut (ICS), Lleida, Spain. [Soler-Palacín P, Soriano-Arandes A] Unitat de Patologia Infecciosa i Immunodeficiències de Pediatria, Vall d’Hebron Hospital Universitari, Barcelona, Spain, Vall d'Hebron Barcelona Hospital Campus, Universitat Politècnica de Catalunya. Doctorat en Física Computacional i Aplicada, Universitat Politècnica de Catalunya. Departament de Física, and Universitat Politècnica de Catalunya. BIOCOM-SC - Grup de Biologia Computacional i Sistemes Complexos

Subjects
Male, Adolescent, Epidemiology, Otros calificadores::/diagnóstico [Otros calificadores], diagnóstico::técnicas y procedimientos diagnósticos::técnicas de laboratorio clínico::pruebas de bioquímica clínica [TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS], COVID-19 (Malaltia), Microbiology, Article, paediatrics, Diagnosis::Diagnostic Techniques and Procedures::Clinical Laboratory Techniques::Clinical Chemistry Tests [ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT], COVID-19 Testing, COVID-19 (Disease), Predictive Value of Tests, Mathematical Concepts::Algorithms::Artificial Intelligence::Machine Learning [PHENOMENA AND PROCESSES], Virology, Machine learning, Aprenentatge automàtic, Other subheadings::/diagnosis [Other subheadings], conceptos matemáticos::algoritmos::inteligencia artificial::aprendizaje automático [FENÓMENOS Y PROCESOS], virosis::infecciones por virus ARN::infecciones por Nidovirales::infecciones por Coronaviridae::infecciones por Coronavirus [ENFERMEDADES], Humans, Child, Models, Statistical, SARS-CoV-2, Infant, Newborn, Infant, deep learning, COVID-19, Deep learning, Paediatrics, Virus Diseases::RNA Virus Infections::Nidovirales Infections::Coronaviridae Infections::Coronavirus Infections [DISEASES], QR1-502, machine learning, epidemiology, microbiology, Infectious Diseases, Diagnòstic de laboratori, Child, Preschool, Ciències de la salut::Medicina::Medicina comunitària i salut pública [Àrees temàtiques de la UPC], Female, COVID-19 (Malaltia) - Diagnòstic
Abstract

COVID-19; Microbiology; Paediatrics COVID-19; Microbiología; Pediatría COVID-19; Microbiologia; Pediatria Background: Testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is neither always accessible nor easy to perform in children. We aimed to propose a machine learning model to assess the need for a SARS-CoV-2 test in children (

Published
2022

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