Your browser doesn't support javascript.
loading
A machine-learning algorithm for diagnosis of multisystem inflammatory syndrome in children and Kawasaki disease in the USA: a retrospective model development and validation study.
Lam, Jonathan Y; Shimizu, Chisato; Tremoulet, Adriana H; Bainto, Emelia; Roberts, Samantha C; Sivilay, Nipha; Gardiner, Michael A; Kanegaye, John T; Hogan, Alexander H; Salazar, Juan C; Mohandas, Sindhu; Szmuszkovicz, Jacqueline R; Mahanta, Simran; Dionne, Audrey; Newburger, Jane W; Ansusinha, Emily; DeBiasi, Roberta L; Hao, Shiying; Ling, Xuefeng B; Cohen, Harvey J; Nemati, Shamim; Burns, Jane C.
Affiliation
  • Lam JY; Department of Biomedical Informatics, University of California San Diego, La Jolla, CA, USA. Electronic address: j7lam@ucsd.edu.
  • Shimizu C; Department of Pediatrics, Rady Children's Hospital and University of California San Diego, San Diego, CA, USA.
  • Tremoulet AH; Department of Pediatrics, Rady Children's Hospital and University of California San Diego, San Diego, CA, USA.
  • Bainto E; Department of Pediatrics, Rady Children's Hospital and University of California San Diego, San Diego, CA, USA.
  • Roberts SC; Department of Pediatrics, Rady Children's Hospital and University of California San Diego, San Diego, CA, USA.
  • Sivilay N; Department of Pediatrics, Rady Children's Hospital and University of California San Diego, San Diego, CA, USA.
  • Gardiner MA; Department of Pediatrics, Rady Children's Hospital and University of California San Diego, San Diego, CA, USA.
  • Kanegaye JT; Department of Pediatrics, Rady Children's Hospital and University of California San Diego, San Diego, CA, USA.
  • Hogan AH; Department of Pediatrics, Connecticut Children's Medical Center, Hartford, CT, USA; Department of Pediatrics, University of Connecticut School of Medicine, Farmington, CT, USA.
  • Salazar JC; Department of Pediatrics, Connecticut Children's Medical Center, Hartford, CT, USA; Department of Pediatrics, University of Connecticut School of Medicine, Farmington, CT, USA.
  • Mohandas S; Department of Pediatrics, Children's Hospital Los Angeles, Los Angeles, CA, USA.
  • Szmuszkovicz JR; Department of Pediatrics, Children's Hospital Los Angeles, Los Angeles, CA, USA.
  • Mahanta S; Department of Cardiology, Boston Children's Hospital, Boston, MA, USA.
  • Dionne A; Department of Cardiology, Boston Children's Hospital, Boston, MA, USA.
  • Newburger JW; Department of Cardiology, Boston Children's Hospital, Boston, MA, USA.
  • Ansusinha E; Division of Pediatric Infectious Diseases, Children's National Hospital, Washington, DC, USA.
  • DeBiasi RL; Division of Pediatric Infectious Diseases, Children's National Hospital, Washington, DC, USA.
  • Hao S; Department of Surgery, Stanford University School of Medicine, Stanford, CA, USA.
  • Ling XB; Department of Surgery, Stanford University School of Medicine, Stanford, CA, USA.
  • Cohen HJ; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
  • Nemati S; Department of Biomedical Informatics, University of California San Diego, La Jolla, CA, USA.
  • Burns JC; Department of Pediatrics, Rady Children's Hospital and University of California San Diego, San Diego, CA, USA.
Lancet Digit Health ; 4(10): e717-e726, 2022 10.
Article in En | MEDLINE | ID: mdl-36150781

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: COVID-19 / Mucocutaneous Lymph Node Syndrome Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limits: Child / Humans Country/Region as subject: America do norte Language: En Journal: Lancet Digit Health Year: 2022 Document type: Article Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: COVID-19 / Mucocutaneous Lymph Node Syndrome Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limits: Child / Humans Country/Region as subject: America do norte Language: En Journal: Lancet Digit Health Year: 2022 Document type: Article Country of publication: