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An "All-Data-on-Hand" Deep Learning Model to Predict Hospitalization for Diabetic Ketoacidosis in Youth With Type 1 Diabetes: Development and Validation Study.
Williams, David D; Ferro, Diana; Mullaney, Colin; Skrabonja, Lydia; Barnes, Mitchell S; Patton, Susana R; Lockee, Brent; Tallon, Erin M; Vandervelden, Craig A; Schweisberger, Cintya; Mehta, Sanjeev; McDonough, Ryan; Lind, Marcus; D'Avolio, Leonard; Clements, Mark A.
Afiliação
  • Williams DD; Health Services and Outcomes Research, Children's Mercy - Kansas City, Kansas City, MO, United States.
  • Ferro D; Department of Endocrinology, Children's Mercy - Kansas City, Kansas City, MO, United States.
  • Mullaney C; IRCCS, Bambino Gesù Children's Hospital, Rome, Italy.
  • Skrabonja L; Cyft, Inc, Cambridge, MA, United States.
  • Barnes MS; Cyft, Inc, Cambridge, MA, United States.
  • Patton SR; Department of Endocrinology, Children's Mercy - Kansas City, Kansas City, MO, United States.
  • Lockee B; Center for Healthcare Delivery Science, Nemours Children's Health, Jacksonville, FL, United States.
  • Tallon EM; Department of Endocrinology, Children's Mercy - Kansas City, Kansas City, MO, United States.
  • Vandervelden CA; Department of Endocrinology, Children's Mercy - Kansas City, Kansas City, MO, United States.
  • Schweisberger C; Department of Endocrinology, Children's Mercy - Kansas City, Kansas City, MO, United States.
  • Mehta S; Department of Endocrinology, Children's Mercy - Kansas City, Kansas City, MO, United States.
  • McDonough R; Joslin Diabetes Center, Boston, MA, United States.
  • Lind M; Department of Endocrinology, Children's Mercy - Kansas City, Kansas City, MO, United States.
  • D'Avolio L; Department of Medicine, NU-Hospital Group, Uddevalla, Sweden.
  • Clements MA; Department of Molecular and Clinical Medicine, University of Gothenburg, Gothenburg, Sweden.
JMIR Diabetes ; 8: e47592, 2023 Jul 18.
Article em En | MEDLINE | ID: mdl-37224506
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Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: JMIR Diabetes Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: JMIR Diabetes Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos