Published on in Vol 7, No 1 (2019): Jan-Mar

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12591, first published .
Predicting Appropriate Hospital Admission of Emergency Department Patients with Bronchiolitis: Secondary Analysis

Predicting Appropriate Hospital Admission of Emergency Department Patients with Bronchiolitis: Secondary Analysis

Predicting Appropriate Hospital Admission of Emergency Department Patients with Bronchiolitis: Secondary Analysis

Journals

  1. Schwartz J, Moy A, Rossetti S, Elhadad N, Cato K. Clinician involvement in research on machine learning–based predictive clinical decision support for the hospital setting: A scoping review. Journal of the American Medical Informatics Association 2021;28(3):653 View
  2. Saberinia A, Vafaei A, Kashani P. A narrative review on the management of Acute Heart Failure in Emergency Medicine Department. European Journal of Translational Myology 2020;30(1):171 View
  3. Martinez-Garcia A, Naranjo-Saucedo A, Rivas J, Romero Tabares A, Marín Cassinello A, Andrés-Martín A, Sánchez Laguna F, Villegas R, Pérez León F, Moreno Conde J, Parra Calderón C. A Clinical Decision Support System (KNOWBED) to Integrate Scientific Knowledge at the Bedside: Development and Evaluation Study. JMIR Medical Informatics 2021;9(3):e13182 View
  4. Bizune D, Tsay S, Palms D, King L, Bartoces M, Link-Gelles R, Fleming-Dutra K, Hicks L. Regional Variation in Outpatient Antibiotic Prescribing for Acute Respiratory Tract Infections in a Commercially Insured Population, United States, 2017. Open Forum Infectious Diseases 2023;10(2) View
  5. Eggli Y, Halfon P, Piaget-Rossel R, Bischoff T. Measuring medically unjustified hospitalizations in Switzerland. BMC Health Services Research 2022;22(1) View
  6. El-Bouri R, Taylor T, Youssef A, Zhu T, Clifton D. Machine learning in patient flow: a review. Progress in Biomedical Engineering 2021;3(2):022002 View
  7. Tso C, Lam C, Calvert J, Mao Q. Machine learning early prediction of respiratory syncytial virus in pediatric hospitalized patients. Frontiers in Pediatrics 2022;10 View
  8. Chekani F, Zhu Z, Khandker R, Ai J, Meng W, Holler E, Dexter P, Boustani M, Ben Miled Z. Modeling acute care utilization: practical implications for insomnia patients. Scientific Reports 2023;13(1) View
  9. Ahmed A, Aram K, Tutun S, Delen D. A study of “left against medical advice” emergency department patients: an optimized explainable artificial intelligence framework. Health Care Management Science 2024 View