Your browser doesn't support javascript.
loading
Machine learning in the clinical microbiology laboratory: has the time come for routine practice?
Peiffer-Smadja, N; Dellière, S; Rodriguez, C; Birgand, G; Lescure, F-X; Fourati, S; Ruppé, E.
Afiliação
  • Peiffer-Smadja N; National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, London, UK; Université de Paris, IAME, INSERM, F-75018 Paris, France.
  • Dellière S; Université de Paris, Laboratoire de Parasitologie-Mycologie, Groupe Hospitalier Saint-Louis-Lariboisière-Fernand-Widal, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France.
  • Rodriguez C; Department of Prevention, Diagnosis and Treatment of Infections, Henri-Mondor Hospital, APHP, Université Paris-Est Créteil, IMRB, INSERM U955, Créteil, France.
  • Birgand G; National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, London, UK.
  • Lescure FX; Université de Paris, IAME, INSERM, F-75018 Paris, France.
  • Fourati S; Department of Prevention, Diagnosis and Treatment of Infections, Henri-Mondor Hospital, APHP, Université Paris-Est Créteil, IMRB, INSERM U955, Créteil, France.
  • Ruppé E; Université de Paris, IAME, INSERM, F-75018 Paris, France. Electronic address: etienne.ruppe@inserm.fr.
Clin Microbiol Infect ; 26(10): 1300-1309, 2020 Oct.
Article em En | MEDLINE | ID: mdl-32061795

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tecnologia da Informação / Serviços de Laboratório Clínico / Aprendizado de Máquina / Análise de Dados Tipo de estudo: Diagnostic_studies / Prognostic_studies / Systematic_reviews Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tecnologia da Informação / Serviços de Laboratório Clínico / Aprendizado de Máquina / Análise de Dados Tipo de estudo: Diagnostic_studies / Prognostic_studies / Systematic_reviews Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article