Electronic health records for the diagnosis of rare diseases.

Garcelon, Nicolas; Burgun, Anita; Salomon, Rémi; Neuraz, Antoine

Garcelon, Nicolas; Burgun, Anita; Salomon, Rémi; Neuraz, Antoine.

Afiliação

Garcelon N; Inserm U1163, Imagine Institute, Paris Center University, Paris, France; Inserm, Cordeliers Research Center, U1138, eq 22, Paris Descartes University, Sorbonne Paris-Cite, Paris, France. Electronic address: nicolas.garcelon@institut.imagine.org.
Burgun A; Inserm, Cordeliers Research Center, U1138, eq 22, Paris Descartes University, Sorbonne Paris-Cite, Paris, France; Department of Medical Informatics, Necker-Enfants Malades Hospital, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France.
Salomon R; Inserm U1163, Imagine Institute, Paris Center University, Paris, France; Department of Pediatric Nephrology, Necker-Enfants Malades Hospital, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France.
Neuraz A; Inserm, Cordeliers Research Center, U1138, eq 22, Paris Descartes University, Sorbonne Paris-Cite, Paris, France; Department of Medical Informatics, Necker-Enfants Malades Hospital, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France.

Kidney Int ; 97(4): 676-686, 2020 04.

Article em En | MEDLINE | ID: mdl-32111372

Assuntos

Registros Eletrônicos de Saúde; Doenças Raras; Algoritmos; Humanos; Aprendizado de Máquina; Processamento de Linguagem Natural; Doenças Raras/diagnóstico; Doenças Raras/epidemiologia

Palavras-chave

artificial intelligence; education; electronic health record; pediatric nephrology; rare diseases

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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 Base de dados: MEDLINE Assunto principal: Doenças Raras / Registros Eletrônicos de Saúde Tipo de estudo: Diagnostic_studies / Prognostic_studies Aspecto: Ethics Limite: Humans Idioma: En Revista: Kidney Int Ano de publicação: 2020 Tipo de documento: Article

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