Using artificial intelligence to reduce diagnostic workload without compromising detection of urinary tract infections.

Burton, Ross J; Albur, Mahableshwar; Eberl, Matthias; Cuff, Simone M

Burton, Ross J; Albur, Mahableshwar; Eberl, Matthias; Cuff, Simone M.

Afiliación

Burton RJ; Department of Infection Sciences, Severn Pathology, Bristol, BS10 5NB, UK. BurtonRJ@cardiff.ac.uk.
Albur M; Division of Infection and Immunity, School of Medicine, Cardiff University, Henry Wellcome Building, Heath Park, Cardiff, CF14 4XN, UK. BurtonRJ@cardiff.ac.uk.
Eberl M; Department of Infection Sciences, Severn Pathology, Bristol, BS10 5NB, UK.
Cuff SM; Division of Infection and Immunity, School of Medicine, Cardiff University, Henry Wellcome Building, Heath Park, Cardiff, CF14 4XN, UK.

BMC Med Inform Decis Mak ; 19(1): 171, 2019 08 23.

Article en En | MEDLINE | ID: mdl-31443706

Asunto(s)

Inteligencia Artificial; Aprendizaje Automático; Infecciones Urinarias/diagnóstico; Carga de Trabajo; Adolescente; Adulto; Anciano; Algoritmos; Niño; Preescolar; Femenino; Humanos; Lactante; Masculino; Persona de Mediana Edad; Redes Neurales de la Computación; Embarazo; Estudios Retrospectivos; Urinálisis; Adulto Joven

Palabras clave

Algorithms; Diagnostic decision making; Laboratory medicine; Machine learning; Urinary tract infection

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Infecciones Urinarias / Inteligencia Artificial / Carga de Trabajo / Aprendizaje Automático Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies Límite: Adolescent / Adult / Aged / Child / Child, preschool / Female / Humans / Infant / Male / Middle aged Idioma: En Revista: BMC Med Inform Decis Mak Asunto de la revista: INFORMATICA MEDICA Año: 2019 Tipo del documento: Article

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